Publication profile
Publication profile
Geir Olve Storvik
Name:
Geir Olve Storvik
Title:
Professor II
Phone:
(+47) +47 22 85 58 94
Email:
@
Scientific areas:
Statistical analysis, Fisheries
Add to contacts (vCard) Show publications
Academic article
2021
. Flexible Bayesian Nonlinear Model Configuration. The journal of artificial intelligence research (ISSN 1076-9757). 72 pp 901-942. doi: 10.1613/JAIR.1.13047. 2021. Arkiv Sammendrag Fulltekst
. Clustering and automatic labelling within time series of categorical observations - with an application to marine log messages. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 70(3) pp 714-732. doi: 10.1111/rssc.12483. 2021. Arkiv
2020
. A Bayesian binomial regression model with latent gaussian processes for modelling DNA methylation. Austrian Journal of Statistics (ISSN 1026-597X). 49(4) pp 46-56. doi: 10.17713/ajs.v49i4.1124. 2020. Fulltekst Data Arkiv
2019
. Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes. PLoS Computational Biology (ISSN 1553-734X). 15(2) pp 1-13. doi: 10.1371/journal.pcbi.1006731. 2019. Arkiv
2018
. A Novel Algorithmic Approach to Bayesian Logic Regression. Bayesian Analysis (ISSN 1936-0975). 15(1) pp 263-311. doi: 10.1214/18-BA1141. 2018. Arkiv Fulltekst
. Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. International Journal of COMADEM (ISSN 1363-7681). 21(4) pp 7-18. 2018. Fulltekst
. Mode jumping MCMC for Bayesian variable selection in GLMM. Computational Statistics & Data Analysis (ISSN 0167-9473). 127 pp 281-297. doi: 10.1016/j.csda.2018.05.020. 2018. Arkiv
2017
. Coordinates and intervals in graph-based reference genomes. BMC Bioinformatics (ISSN 1471-2105). 18:263 pp 1-8. doi: 10.1186/s12859-017-1678-9. 2017. Arkiv
. Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models. Journal of Animal Ecology (ISSN 0021-8790). 86(4) pp 888-898. doi: 10.1111/1365-2656.12678. 2017. Arkiv
. Latent Gaussian models to predict historical bycatch in commercial fishery. Fisheries Research (ISSN 0165-7836). 185 pp 62-72. doi: 10.1016/j.fishres.2016.09.033. 2017. Arkiv Fulltekst
2016
. Latent gaussian models to decide on spatial closures for bycatch management in the barents sea shrimp fishery. Canadian Journal of Fisheries and Aquatic Sciences (ISSN 0706-652X). 73(8) pp 1271-1280. doi: 10.1139/cjfas-2015-0322. 2016. Arkiv Fulltekst
. Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes. Proceedings of the National Academy of Sciences of the United States of America (ISSN 0027-8424). 113(52) pp 15030-15035. doi: 10.1073/pnas.1525749113. 2016.
. A comparative study of qualitative and quantitative models used to interpret complex STR DNA profiles. Forensic Science International: Genetics (ISSN 1872-4973). 25 pp 85-96. doi: 10.1016/j.fsigen.2016.07.016. 2016. Arkiv
. EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts. Forensic Science International: Genetics (ISSN 1872-4973). 21 pp 35-44. doi: 10.1016/j.fsigen.2015.11.008. 2016. Arkiv
2015
. Persistence of plague outbreaks among great gerbils in Kazakhstan: effects of host population dynamics. Population Ecology (ISSN 1438-3896). 57(3) pp 473-484. doi: 10.1007/s10144-015-0500-7. 2015.
2014
. Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar). Global Change Biology (ISSN 1354-1013). 20(1) pp 61-75. doi: 10.1111/gcb.12363. 2014.
2013
. Particle move-reweighting strategies for online inference. Statistical research report (Universitetet i Oslo. Matematisk institut (ISSN 0806-3842). 2013. Arkiv
. Hunter selection and long-term trend (1881-2008) of red deer trophy sizes in Hungary. Journal of Applied Ecology (ISSN 0021-8901). 50(1) pp 168-180. doi: 10.1111/1365-2664.12004. 2013.
2012
. A Bayesian modelling framework for the estimation of catch-at-age of commercially harvested fish species. Canadian journal of fisheries and aquatic sciences. Supplem ent = Journ al canadien des sciences halieutiques et aquati qu (ISSN 0714-7937). 69(12) pp 2064-2076. doi: 10.1139/CJFAS-2012-0075. 2012.
. Are responses of herbivores to environmental variability spatially consistent in alpine ecosystems? Global Change Biology (ISSN 1354-1013). 18(10) pp 3050-3062. doi: 10.1111/j.1365-2486.2012.02733.x. 2012.
. Contemporary ocean warming and freshwater conditions are related to later sea age at maturity in Atlantic salmon spawning in Norwegian rivers. Ecology and Evolution (ISSN 2045-7758). 2(9) pp 2192-2203. doi: 10.1002/ece3.337. 2012. Arkiv
. Improving management decisions by predicting fish bycatch in the Barents Sea shrimp fishery. ICES Journal of Marine Science (ISSN 1054-3139). 69(1) pp 64-74. doi: 10.1093/icesjms/fsr172. 2012.
2011
. Quantifying the Ocean, Freshwater and Human Effects on Year-to-Year Variability of One-Sea-Winter Atlantic Salmon Angled in Multiple Norwegian Rivers. PLOS ONE (ISSN 1932-6203). 6(8) doi: 10.1371/journal.pone.0024005. 2011. Arkiv
. Emergence, spread, persistence and fade-out of sylvatic plague in Kazakhstan. Proceedings of the Royal Society of London. Biological Sciences (ISSN 0962-8452). 278(1720) pp 2915-2923. doi: 10.1098/rspb.2010.2614. 2011.
. On the flexibility of Metropolis-Hastings acceptance probabilities in auxiliary variable proposal generation. Scandinavian Journal of Statistics (ISSN 0303-6898). 38(2) pp 342-358. doi: 10.1111/j.1467-9469.2010.00709.x. 2011.
2009
. On the Combination of Multisensor Data Using Meta-Gaussian Distributions. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 47(7) pp 2372-2379. doi: 10.1109/TGRS.2009.2012699. 2009.
. Posterior Predictive p-values in Bayesian Hierarchical Models. Scandinavian Journal of Statistics (ISSN 0303-6898). 36(2) pp 320-336. doi: 10.1111/j.1467-9469.2008.00630.x. 2009.
2008
. On the combination of correlated images using meta-Gaussian distributions. Ukjent 2008.
2007
. The DNA database search controversy revisited: bridging the Bayesian-Frequentist gap. Biometrics (ISSN 0006-341X). 63 pp 922-925. doi: 10.1111/j.1541-0420.2007.00751.x. 2007.
. Fish and oil in the Lofoten-Barents Sea system: synoptic review of the effect of oil spills on fish populations. Marine Ecology Progress Series (ISSN 0171-8630). 339 pp 283-299. 2007.
2005
. Estimating catch-at-age by combining data from different sources. Canadian Journal of Fisheries and Aquatic Sciences (ISSN 0706-652X). 62 doi: 10.1139/f05-026. 2005. Fulltekst
. A Bayesian approach to classification of multi-scale remote sensing data. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 43(3) pp 539-547. doi: 10.1109/TGRS.2004.841395. 2005.
2004
. Estimating catch at age from market sampling data by using a Bayesian hierarchical model. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 53 pp 1-14. doi: 10.1111/j.1467-9876.2004.00422. 2004.
. Inferring the most likely geographical origin of mtDNA sequence profiles. Annals of Human Genetics (ISSN 0003-4800). 68(5) pp 461-471. 2004.
2003
. Estimating criticdal load exceedance by combining the EMEP model with data from stations. Science of the Total Environment (ISSN 0048-9697). 310 pp 163-170. 2003.
. A hierarchical modelling approach to combining environmental data at different resolutions. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 52(3) pp 377-390. 2003.
. Estimating Critical load exceedance by combining the EMEP model with data from measurement stations. Ukjent 310 pp 163-170. 2003.
2002
. Stationary Space Time Gaussian Fields and their time autoregressive representation. Statistical Modelling (ISSN 1471-082X). 2 pp 139-161. 2002.
. Particle filters for state space models with the presence of unknown static parameters. IEEE Transactions on Signal Processing (ISSN 1053-587X). 50 pp 281-289. 2002.
. Space-time Gaussian fields and their time-autoregressive representation. Statistical Modelling (ISSN 1471-082X). 2002 pp 139-161. 2002.
. Particle filters in state space models with the presence of unknown static parameters. Ukjent 50 (2) 2002.
. Large-scale integer programs in image analysis. Operations Research (ISSN 0030-364X). 50(3) pp 490-500. 2002.
2000
. A Bayesian Analysis of Bisphosphonate Effects and Cost-Effectiveness in Post-menopausal Osteoporosis. Pharmacoepidemiology and Drug Safety (ISSN 1053-8569). 9 pp 501-509. 2000.
. Lagrangian based methods for finding {MAP} solutions for {MRF} models. IEEE Transactions on Image Processing (ISSN 1057-7149). 9 pp 469-479. 2000.
. Lagrangian based methods for finding MAP solutions for MRF models. IEEE Transactions on Image Processing (ISSN 1057-7149). 9(3) pp 469-479. 2000.
1999
. Automatic detection of oil spills in ERS SAR images. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 37(4) pp 1916-1924. doi: 10.1109/36.774704. 1999.
1995
. Segmentation of brain parenchyma and cerebrospinal-fluyid in multispectral magnetic-resonance images. IEEE Transactions on Medical Imaging (ISSN 0278-0062). 14(2) pp 339-349. 1995.
1994
. Tissue classification in MR images based on a mixed pixel model. Ukjent 1994.
. A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN 0162-8828). 16(10) pp 976-986. 1994.
1993
. Methods for updating of model parameters applied within the area of symbol recognition. Ukjent 1993.
. Data-reduction by separation of signal and noise components for multivariate spatial images. Journal of Applied Statistics (ISSN 0266-4763). 1 1993.
. Segmentation of brain parenchyma and CSF in multispectral MR images of the head. Ukjent 1993.
. Data reduction by separation of signal and noise components for multivariate spatial images. Journal of Applied Statistics (ISSN 0266-4763). 20(1) pp 127-136. 1993.
. Volume-calculations in MR-images of the brain. Ukjent 1993.
1992
. Space-time modeling of simply connected objects: An application to detection of left ventricular cardiac boundaries from ultrasound images. Ukjent 1992.
1991
. Automated prediction of sedimentary facies from wireline logs. Ukjent 1991.
1988
. Statistical permeability prediction from wireline logs by switching and Markov regime models. Ukjent 1988.
1987
. A simulation study of some contextual classification methods for remotely sensed data. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 25 pp 796-804. 1987.
1986
. A simulation study of some contextual classification methods for remotely sensed data. Ukjent 1986.
Academic literature review
2007
. Fish and oil in the Lofoten-Barents Sea system: synoptic review of the effect of oil spills on fish populations. Marine Ecology Progress Series (ISSN 0171-8630). 339 pp 283-299. 2007.
Short communication
2020
. Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression". Bayesian Analysis (ISSN 1936-0975). 15(1) pp 312-333. doi: 10.1214/18-ba1141. 2020. Arkiv Fulltekst
Letter to the editor
2017
. Reply to Enberg and Jørgensen: Ecology and evolution both matter for explaining stock dynamics. 2017.
Academic chapter/article/Conference paper
2021
. Reversible genetically modified mode jumping MCMC. In: 22nd European Young Statisticians Meeting – Proceedings. (ISBN 978-960-7943-23-1). pp 35-40. 2021. Sammendrag Fulltekst
2019
. Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data. In: Proceedings of Computer Data Analysis and Modeling: Stochastics and Data Science 2019. (ISBN 978-985-566-811-5). pp 167-171. 2019. Fulltekst
. Climate and synchrony of lamb body mass. In: Contributions in natural resource economics. Festschrift to Anders Skonhoft. (ISBN 9788245024715). pp 183-197. 2019.
2017
. Anomaly Detection Using Dynamical Linear Models and Sequential Testing on a Marine Engine System. In: PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. (ISBN 978-1-936263-26-4). pp 185-200. 2017. Fulltekst
2016
. On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM. In: COMPUTER DATA ANALYSIS AND MODELING. Theoretical and Applied Stochastics. Proceedings of the XI International Conference. (ISBN 978-985-553-366-6). pp 275-278. doi: 10.1016/j.csda.2018.05.020. 2016. Omtale Fulltekst
2014
. Reweighting Schemes Based on Particle Methods. In: The Contribution of Young Researchers to Bayesian Statistics. (ISBN 978-3-319-02084-6). pp 73-76. doi: 10.1007/978-3-319-02084-6_14. 2014.
2012
. Bayesian methods. In: Medical statistics in clinical and epidemiological research. (ISBN 9788205399594). pp 559-584. 2012.
. Bootstrapping. In: Medical statistics in clinical and epidemiological research. (ISBN 9788205399594). pp 402-428. 2012.
2007
. Classifying Oil Spills and Look-Alikes in Envisat ASAR Images. In: Proceedings of the Envisat Symposium 2007 - Montreux, Switzerland. (ISBN 0000000000). 2007. Omtale
2003
. Some further topics on Monte Carlo methods for dynamic Bayesian problems. In: Highly Structured Stochastic Systems. (ISBN 0198510551). pp 228-231. 2003.
. Scientific Explanation in Econometrics - A case study. In: Econometrics and the Philosophy of Economics. Theory-Data Confrontations in Economics. (ISBN 0-691-11300-9). pp 578-612. 2003.
2002
. Simulation and Monte Carlo Methods. In: Encyclopedia of Environmetrics. (ISBN 9780471899976). 2002.
2001
. Deterministic and stochastic particle filters in state space models. In: Sequential Monte Carlo in Practice. pp 97-116. 2001. Fulltekst
Academic lecture
2022
. Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks. Biometric Colloquium; Vienna, 7/26/2022. Sammendrag Data Fulltekst
2021
. Reversible Genetically Modified MCMCs. 22nd European Young Statisticians Meeting; Athens, Greece, Online, 9/6/2021 - 9/10/2021. Sammendrag Fulltekst
. Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. 2021 World Meeting of the International Society for Bayesian Analysis; Online, 6/23/2021 - 7/2/2021. Sammendrag Fulltekst
. Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks. The 28th Nordic Conference in Mathematical Statistics; Tromsø, 6/21/2021 - 6/24/2021. Fulltekst Sammendrag
2020
. A novel algorithmic approach to Bayesian Logic Regression. Bayesian Analysis discussion paper webinar; online, 2/26/2020. Omtale Data
2019
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Nordic Probabilistic AI School; Trondheim, 6/3/2019 - 6/7/2019. Data Fulltekst
. Combining model and parameter uncertainty in Bayesian neural networks. CMStatistics 2019; London, 12/14/2019 - 12/16/2019.
. Bayesian approaches to neural networks. Workshop in Data Science; Halden, 11/1/2019 - 11/2/2019.
2018
. Deep Bayesian regression models. Machine learning seminar at UiO; Oslo, 12/13/2018.
. Deep Bayesian regression models. Seminar on Bayesian Methods in Machine Learning; Yandex School of Data Analysis, Moscow, 3/16/2018.
. Specification of mutation probabilities through Metropolis-Hastings steps. Advanced Statistical and Stochastic Methods in Forensic Genetics; Køln, 8/27/2018 - 8/31/2018.
2017
. A novel algorithmic approach to Bayesian Logic Regression. Tuesday Seminar at UiO; Blindern, 4/25/2017.
2016
. Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. 29th International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2016; Xian, 8/19/2016 - 8/23/2016.
2015
. Estimation of fish abundance and demography in the Barents sea. 5th Nordic-Baltic Biometric Conference; Reykjavik, 6/8/2015 - 6/10/2015.
2014
. Estimation of static parameters using particle filters and a block independence approximation. 7th International Conference of the ERCIM WG on Computational and Methodological Statistics; Pisa, 12/6/2014 - 12/8/2014.
2013
. Computational tools for analysis of models with latent structures. Klækken workship; Klækken, 5/24/2013.
2012
. Bayesian approaches to neural networks. Workshop on Confidence and uncertainty; Tromsø, 5/6/2012 - 5/6/2021.
2011
. Modelling catch at age for multiple stock. The 16th Norwegian Statistical Conference (NSF 2011), Røros; Røros, 6/17/2011.
2010
. On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms. 23rd Nordic Conference on Mathematical Statistics (NORDSTAT); Voss, 6/14/2010 - 6/17/2010.
. Bayesian analysis of plague in Kazakhstan. Smögen workshop; Smögen, 8/16/2010 - 8/20/2010.
. Contemporary ocean warming and freshwater conditions contribute to delay the completion of maturation in Atlantic salmon throughout the Norwegian range of distribution. ICES Annual Science Conference; Nantes, 9/20/2010 - 9/24/2010.
. Bayesian analysis of plague in Kazakhstan. International Statistical Ecology Conference 2010; University of Kent, 7/6/2010 - 7/9/2010.
2009
. A Bayesian hierarchical modelling approach to estimating landings- and discards-at-age. ICES Annual Science conference, 10/20/2009. Fulltekst
. On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms. EPSRC Symposium Workshop on Markov Chain-Monte Carlo; University of Warwick, 3/16/2009 - 3/20/2009.
. Factors affecting year-to-year and within river variability of one-sea-winter Atlantic salmon in Norwegian rivers. ICES Annual Science Conference; Berlin, 9/21/2009 - 9/25/2009.
. Quantification of evidence when suspects are found by searches through DNA databases. Workshop Forensic Genetics Nov 25, 2009; Oslo, 11/25/2009.
. Plague in Kazakhstan - A case study. PASCAL Workshop on Spatiotemporal Modelling; Edinburgh, 10/12/2009 - 10/14/2009.
. Sekvensiell Monte Carlo (eller Partikkelfiltre). Det 15. Norske Statistikermøte; Jevnaker, 6/16/2009 - 6/18/2009.
2008
. Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model. Statistics Seminar; Bristol, 2/1/2008.
. On the flexibility of importance weights in importance sampling and Markov chain Monte Carlo. Trondheim symposium in statistics; Selbusjøen Hotell & Gjestegård, 9/19/2008 - 9/20/2008.
2007
. The DNA database search controversy revisited: Bridging the Bayesian - Frequentist gap. New faces seminar; Dept of Mathematics, University of Bristol, 11/16/2007.
. Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model. NCSE seminar ved CREEM; St. Andrews, 11/27/2007.
. Posterior and Prior Predictive p-values in Bayesian Hierarchical models. Statistics Seminars, University of St Andrews; St. Andrews, 11/26/2007.
. Intro til Bayesiansk Statistikk. Faglig seminar; Kjeller, 2/16/2007.
2005
. Identification of DNA profiles from mixture samples. International Biometric Society International Biometric Society - Nordic Regional Conference Nordic Regional Conference; Oslo, 6/2/2005 - 6/4/2005.
. Modell-evaluering i Bayesianske modeller. 17. Norske Kjemometrisymposium; Geilo, 3/14/2005 - 3/16/2005.
. Bayesian assessment of Bowhead whales. Integrated modeling and analysis 2005; Oslo, 10/19/2005 - 10/21/2005.
. Evaluation of evolutionary models in phylogenetic inferences. The Bioportal lecture series; Oslo, 11/10/2005.
2003
. Joint distribution for correlated radar images. International Geoscience and Remote Sensing Symposium (IGARSS'03); Tolouse, 7/21/2003 - 7/25/2003.
. Parameter estimation and classification of multi-scale remote sensing data. International Geoscience and Remote Sensing Symposium (IGARSS'03); Toulouse, 7/21/2003 - 7/25/2003. Fulltekst
. Joint distributions for multi-temporal series of radar images. Second International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp'03); Ispra, 7/16/2003 - 7/18/2003. Fulltekst
. A hierarchical modelling approach to combining environmental data at different scales. Detecting Environmental Change, Proceedings, London, 1/1/2003.
2002
. A Comparison of Criteria for Decision Fusion and Parameter Estimation in Statistical Multisensor Image Classification. International Geoscience and Remote Sensing Symposium (IGARSS 02); Toronto, 6/1/2002.
. A new approach to statistical multisensor image classification. IGARSS'02; Toronto, 6/24/2002 - 6/28/2002.
2001
. Modelling and computational issues for time autoregressive spatial processes. Syddansk Universitet, institutt for statistikk og demografi; Odense, 12/19/2001.
. A hierarchical modelling approach to combining environmental data at different resolutions. RSS converence; Glasgow, 7/1/2001.
. Use of Bayesian statistics in pharmacoepidemiology and pharmacoeconomics: an example with drug effects in osteoporosis. 3rd Meeting of the Federation of the European Pharmacological Societies (EPHAR); Lyon, 1/1/2001.
. Estimating catch-at-age from market sampling data using a Bayesian hierarchical model. ICES-conference; Oslo, Norway, 10/26/2001.
. Combining Markov Chain Monte Carlo and importance sampling. Universitetet i Oslo, Mat. Inst, avdeling for statistikk; Oslo, 11/5/2001.
2000
. Tid til felles stamfar. Seminar om genetikk og statistikk, arrangert av Norsk Regnesentral, 1/1/2000.
. Some further topics on Monte Carlo methods for dynamic Bayesian problems. Models and inference in HSSS: Recent developments and perspectives, 10/1/2000.
. A hierarchical modelling approach to space-time air pollution data. 18th Nordic Conference on Mathetmatical Statistics; Grimstad, Norway, 1/1/2000.
. Structural Modeling for Spatial and Spatio-temporal processes. Department of statistics and Demography, Odense University; Odense, Denmark, 1/1/2000.
. Tidsrekkeanalyse. vordan ta optimale beslutninger i et kortsiktig marked; Rica Hell Hotell, 3/14/2000.
1999
. Tidsrekkeanalyse. Fagseminar arrangert av Enfo om Hvordan ta optimale beslutinger i et kortsiktig, 1/1/1999.
. Modell-strategier for Gaussiske rom-tid prosesser: Direkte modellering av kovariansstrukturer mot hierarkisk modellering. Seminar ved Avd. C, Mat. Inst, Univ. i Oslo; Oslo, 12/1/1998.
. Space-time Gaussian Fields and their time-autoregressive representation. Workshop: Statistical modelling of spatial and space-time processes; Luminy, France, 12/1/1998.
. Tdisrekker. Fagseminar arrangert av Norsk Hydro Energi; Oslo, 12/1/1998.
. Large-scale integer programs in image analysis. Sixth SIAM Conference on Optimization; Atlanta, 5/12/1999.
. Large-scale integer programs in image analysis. Combinatorial optimization; Matematisches Forschungsinstitut Oberwolfach, 1/13/1999.
1996
. Bayesian Surface Reconstruction from Noisy Images. Interface'96; Sydney, Australia, 7/1/1996. Fulltekst
1995
. Tissue classification in MR images based on a mixed pixel model. 9th Scandinavian Conference on Image Analysis; Uppsala, Sweden, 1/1/1995.
1994
. Recognition of spikes in EEG patterns using hidden Markov chains. 15th Nordic Conference on Mathematical Statistics; Lund, Sweden, 8/1/1994.
1993
. Segmentation of brain parenchyma and CSF in multispectral images of head. Scandinavian Conference on Image Analysis. 8; [Mangler data], .
. Segmentation of brain parenchyma and CSF in multispectral MR images of the head. The 8th SCIA Conference; Tromsø, Norway, 1/1/1993.
. Methods for updating of model parameters applied within the area of symbol recognition. The 8th SCIA Conference; Tromsø, Norway, 1/1/1993.
. Statistical analysis of multispectral MR images from the brain. Statistical Methods in Vision. Isaac Newton Institute for Mathematical Sciences, University of Cambr, 10/18/1993.
. Statistiske metoder i medisinsk bildebehandling. Norsk Statistikerforening. Oslo, 2/22/1993.
. Statistiske metoder i medisinsk billebehandling. Modellforum; Oslo, 1/1/1993.
1992
. Space-time modeling of simply connected objects: an application to detection of left ventricular cardiac boundaries from ultrasound image. Interface'92; Texas, USA, 1/1/1992.
. Combining range and intensity data with a hidden Markov model. 11th IAPR Conference; Haag, Holland, 10/1/1992.
. Combining range and intensity data with a hidden Markov model. NOBIM konferansen; Trondheim, Norway, 6/1/1992.
. Gjenkjenning av konturer i støyfylte bilder. Institutt for Informatikk, Universitetet i Oslo, 9/30/1992.
. Boundary detection in noisy images. Department of Informatics, Univ. of Oslo; Oslo, 11/1/1992.
1991
. Stochastic heterogeneity models of thin, laterally continuous North Sea sandstones and their influence on simulated reservoir performance, SPE 22696. Society of Petroleum Engineers, 66th annual technical conference & exhibition; Dallas, Texas, 10/6/1991.
. Automated predication of sedimentary facies from wireline logs. Geological Applications of Wireline logs II; London, 9/1/1991.
. Stochastic regime models and wireline log data. ISI, 48th Biennial Session; Cairo, 1/1/1991.
. Stochastic regime models and wireline log data. ISI, 48th Biennial Session; Cairo, 1/1/1991.
1990
. Stochastic flow unit modelling of a North Sea coastal-deltaic reservoir. IEA Collaborative Project on EOR, Workshop and Symposium. Paris, 10/8/1990.
. Development of DESIRE modelling tool. SPOR seminar, 1/1/1990.
1989
. Data reduction by separation of signal and noise components for multivariate spatial images. Stanford University, Department of Statistics, 7/1/1989.
1988
. Statistical permeability prediction from wireline logs by switching and Markov regime models. Transactions of the 11th European Formation Evaluation Symposium; Oslo, 1/1/1988.
Lecture
2020
. "Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models". DEEP NEURAL NETWORKS 2020 Applications, best practices and perspectives; Oslo, 2/6/2020.
2019
. Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data. CDAM 2019; Minsk, 9/18/2019 - 9/22/2019.
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. CDAM 2019; Minsk, 9/18/2019 - 9/22/2019.
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. CRONOSMDA2019; Limassol, 4/14/2019 - 4/16/2109 1:00:00 AM.
. Flexible Bayesian Nonlinear Model Configuration. Biomathematics and Statistics seminar series; Gøteborg, 11/27/2019.
. Bayesian approaches to neural networks. Centre for Bioinformatics weekly meeting; Blindern, Oslo, 11/5/2019.
. Education in Statistics and Data Science at the University of Oslo. Cramer Society Meeting; Uppsal, 9/30/2019 - 10/1/2019.
. Bayesian approaches to neural networks. Under the hood: Explaining what goes on inside DNN/AI; Oslo, 9/10/2019.
2018
. Deep Bayesian regression models. NORDSTAT2018 conference; Tartu, 6/26/2018 - 6/29/2018.
. Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models. DEEP NEURAL NETWORKS - Applications, best practices and perspectives; Startup Lab, Oslo, 10/25/2018.
. Statistical analysis for Time series. DNB ReSkill program; STartup Lab, Oslo, 10/18/2018.
2017
. Deep non-linear regression models in a Bayesian framework. Biometrischen Kolloquium; Vienna, 10/16/2017.
. Variable selection in binomial regression with latent Gaussian field models for analysis of epigenetic data. CEN-ISBS-2017; Vienna, 8/28/2017 - 9/1/2017.
. A novel GMJMCMC algorithm for Bayesian Logic Regression models. ML@UiO; Oslo, 6/1/2017.
2016
. On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM. 11th International Conference COMPUTER DATA ANALYSIS & MODELING 2016 Theoretical & Applied Stochastics; Minsk, 9/6/2016 - 9/9/2016.
. VARIABLE SELECTION IN BINOMIAL REGRESSION WITH LATENT GAUSSIAN FIELD MODELS FOR ANALYSIS OF EPIGENETIC DATA. Game of Epigenomics Conference; Dubrovnik, 4/24/2016 - 4/28/2016.
. Variable selection in logistic regression with a latent Gaussian field models with an application in epigenomics. Guest Lecture; Vienna, 3/21/2016.
2015
. On model selection in Hidden Markov Models with covariates. Klækken Workshop 2015; Klækken, 5/29/2015.
. Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data. CMStatistics 2015; London, 12/11/2015 - 12/14/2015.
. Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data. Norbis Annual Meeting 2015; Rosendal, 10/27/2015 - 10/30/2015.
. Estimation of fish abundance and demography in the Barents sea. Seminar; Lancaster University, 2/13/2015.
Poster
2022
. Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. NLDL 2022; Tromsø, 1/10/2022 - 1/12/2022.
. A subsampling approach for Bayesian model selection. ISBA 2022; Motreal, 6/26/2022 - 7/1/2022.
2018
. Deep Bayesian regression models. NORBIS annual meeting 2018; Voss, 10/17/2018 - 10/19/2018.
. Deep Bayesian regression models. IBC2018; Barcelona, 7/8/2018 - 7/13/2018.
2017
. A novel algorithmic approach to Bayesian Logic Regression. 2017 14th Graybill Conference on Statistical Genomics and Genetics; Fort Collins, 6/5/2017 - 6/7/2017.
. Efficient mode jumping MCMC for Bayesian variable selection and model averaging in GLMM. Geilo Winter School 2017; Geilo, 1/15/2017 - 1/20/2017.
2016
. Efficient mode jumping MCMC for Bayesian variable selection in GLM with random effects models. NordStat 2016; Copenhagen, 6/27/2016 - 6/30/2016.
2010
. Environmental effects on ocean entry of Atlantic salmon (Salmo salar) smolt across its range of distribution. ICES Annual Science Conference; Nantes, 9/20/2010 - 9/24/2010.
. Emergence, Spread, Persistence and Fade-out of Sylvatic Plague in Kazakhstan. International Statistical Ecology Conference 2010; University of Kent, 7/6/2010 - 7/9/2010.
2006
. Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model. Valencia International Meetings on Bayesian Statistics; Benidorm, 6/2/2006 - 6/7/2006.
. P-values in Bayesian hierarchical models. Valencia International Meetings on Bayesian Statistics; Benidorm, 6/2/2006 - 6/7/2006.
2003
. Joint distributions for multitemporal series of radar images. Multitemp 2003; Ispra, 7/15/2003 - 7/17/2003.
2001
. A hierarchical modelling approach to combining environmental data at different resolutions. DEC conference; London, 7/1/2001.
Doctoral dissertation
2018
. On Monte Carlo Contributions for Real-time Probabilistic Inference. University of Oslo. 2018.
. Bayesian model configuration, selection and averaging in complex regression contexts. University of Oslo. 2018.
Report
2016
. SAVE – tracking vehicle movements for toll object detection using particle filter. Norsk Regnesentral. NR-notat SAMBA/18/16. pp 24. 2016.
. Catch-at-age - Version 4.0: Technical Report. Norsk Regnesentral. NR-notat SAMBA/54/16. pp 28. 2016.
2015
. A State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey. Matematisk Institutt, UiO. Preprint Series in Statistics 1. pp 15. 2015. Arkiv
2011
. Catch-at-age for multiple stocks: Modelling Skrei and Coastal Cod simultaneously. Norsk Regnesentral. NR-notat SAMBA/46/11. pp 17. 2011.
. Catch-at-age - Version 2.0: Technical Report. Norsk Regnesentral. NR-notat SAMBA/44/11. pp 25. 2011.
2007
. Implementing the catch-at-age program for FRS Aberdeen. Norsk Regnesentral. NR-notat SAMBA/09/2007. pp 20. 2007.
2006
. The DNA database search controversy revisited: Bridging the Bayesian -- Frequentistic gap. Department of Mathematics, University of Oslo. pp 6. 2006.
. Modelling pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time modedel. Department of Mathematics, University of Oslo. Statistical research report (Universitetet i Oslo. Matematisk institut 4. pp 30. 2006. Fulltekst
2005
. Bayesian estimation of catc-at-age using data from several sources. Norsk Regnesentral. NR-notat SAMBA/21/05. 2005.
2004
. Spatial-Temporal Uncertainty for Survey-Based Abundance Estimates. Norsk Regnesentral. NR-notat SAMBA/25/04. pp 8. 2004.
2003
. Parameter estimation and classification of multi-scale remote sensing data. Norsk Regnesentral. pp 36. 2003.
. Joint distribution of correlated radar images. Norsk Regnesentral. NR-notat SAMBA/30/03. pp 34. 2003. Fulltekst
2002
. Integration of multisource image data at different resolutions and time points. A mathematical framework for EOtools. Norsk Regnesentral. pp 36. 2002. Fulltekst
. Segmentation of crate contours. Norsk Regnesentral. pp 20. 2002.
2001
. Particle filters in state space models with the presence of unknown static parameters. Department of Statistics and Demography. Conference proceedings (Universitetet i Oslo. Institutt for informatikk) 32. (ISBN 87-90700-38-4) pp 23. 2001.
. Estimating catch at age from market sampling data using a Bayesian Hierarchical model. Norsk Regnesentral. pp 20. 2001.
2000
. Recognition of pipes using cross-profile information: A feasibility study. Samba, Norsk Regnsentral. Technical Report 11. 2000.
1999
. Deterministic and stochastic particle filters in state space models. Mat. Inst, Univ. i Oslo. Statistical research report (Universitetet i Oslo. Matematisk institut 11. 1999.
. Deterministic and stochastic particle filters in state space models. Universitetet i Oslo, Matematisk Institutt. Statistical research report (Universitetet i Oslo. Matematisk institut 1999.
1998
. Seismic image analysis: 3D texture attributes and classification - part III. Norsk Regnesentral. NR-notat SAMBA/21/98. 1998.
1997
. Assessment of the scientific documentation of the drugs etidronat (Didronate) and alendronat (Fosamax) for the reduction of the number of fractures among women with osteoporosis. An analysis based on Bayesian statistics. Department of Mathematics, University of Oslo. Statistical research report (Universitetet i Oslo. Matematisk institut 9. 1997. Fulltekst
. Slick signature screening: Algorithm improvement. Norsk Regnesentral. NR-notat BILD/04/97. pp 55. 1997.
. Seismic image analysis: 3D texture attributes and classification - part II. Norsk Regnesentral. NR-notat BILD/07/97. pp 60. 1997.
. Formation Evaluation Workstation, FEW, Stage 4, Final report on research and development 1996. Norsk Regnesentral. NR-notat BILD/02/97. pp 143. 1997.
. Seismic image analysis: A pilot study for investigating the relevance of using image analysis techniques on seismic data. Norsk Regnesentral. NR-notat BILD/06/97. 1997.
1996
. Uncertainties of reservoir parameters in a Bayesian framework. Norsk Regnesentral. NR-notat SAND/02/96. pp 70. 1996.
1995
. Textural segmentation in 1D through sequences of double stochastic segments. Norsk Regnesentral. NR-notat BILD/04/95. pp 66. 1995.
. Recognition of spikes in EEG-signals: Further experimentations with the Hidden Markov Chain model. Norsk Regnesentral. NR-notat BILD/08/95. 1995.
1994
. Hidden Markov Chains for recognition of structures in time series. Norsk Regnesentral. Technical Report 880. 1994.
1993
. Markov Chain simulations for analysis of marked point processes. Norsk Regnesentral. Report at the Norwegian Computing Center 869. pp 34. 1993.
. Assessment of tissue perfusion and characterization of lesions in dynamical MRI using contrast agents and statistical analysis - methodological considerations and clinical applications. Norsk Regnesentral. NR-notat BILD/10/93. pp 70. 1993.
. Diagnostic evaluation of contrast agents in medical imaging - proposals towards quantitative assessment. Norsk Regnesentral. NR-notat BILD/03/93. pp 100. 1993.
. Thermography in combination with image analysis and pattern recognition techniques as a diagnostic tool after whiplash accident/injury - A feasibility study based on a small sample of patients and healthy volunteers. Norsk Regnesentral. NR-notat BILD/05/93. pp 44. 1993.
. Evaluering av kontrastmidler ved hjelp av bildebehandling. 1993.
. Classification of mixed pixels. Technical Report 870. 1993.
1992
. An evaluation of statistical modeling in magnetic resonance imaging using images fron the central nervous system aquired with and without a Gladolium-based contrast medium. Norsk Regnesentral. Report at the Norwegian Computing Center 855. (ISBN 82-539-0348-0) pp 47. 1992.
. Relations between wireline logs and seismic data. Pilot project. Norsk Regnesentral. NR-notat SAND/04/92. 1992.
. Multispectral analysis and classification system (cxxmacs): Users manual. Norsk Regnesentral. Report at the Norwegian Computing Center 863. (ISBN 82-539-0356-1) pp 86. 1992.
. Methods for updating of model parameters applied within the area of symbol recognition. Norsk Regnesentral. Report at the Norwegian Computing Center 859. (ISBN 82-539-0352-9) pp 30. 1992.
. Improving statistical image classification by updating model parameters using unclassified pixels. Norsk Regnesentral. Report at the Norwegian Computing Center 857. (ISBN 82-539-0350-2) pp 26. 1992.
. Data-reduction by projections for multivariate spatial images. 853. (ISBN 82-539-0346-4) pp 23. 1992.
. A Bayesian approach to dynamic contours. 860. pp 83. 1992.
1991
. Classification of objects in multi-spectral images. Norsk Regnesentral. NR-notat BILD/01/91. 1991.
. Programmering i C - retningslinjer og råd for SAND. Norsk Regnesentral. NR-notat SAND/02/91. pp 28. 1991.
. Predicting sedimentary facies from wireline logs II: Further testing and developments. Norsk Regnesentral. NR-notat SAND/01/91. pp 37. 1991.
1990
. DESIRE - Et programsystem for stokastisk simulering av reservoarkarakteristika. Modellbeskrivelse og brukerdokumentasjon. Versjon 3.0. Norsk Regnesentral. NR-notat SAND/21/90. 1990.
. User's manual for the sedimentary facies indentification (SEDFACI) system. Norsk Regnesentral. NR-notat SAND/04/90. pp 17. 1990.
1989
. Contextual lithofacies and permeability prediction - (CLAPP System). User manual. Norsk Regnesentral. NR-notat SAND/13/89. 1989.
. Predicting sedimentary facies from wireline logs. Norsk Regnesentral. NR-notat SAND/24/89. 1989.
1988
. Statistiske metoder ved faciesinndeling av et kalksteinsreservoar. Norsk Regnesentral. NR-notat SAND/04/88. 1988.
. Estimating compaction using formation subsidence monitoring tool: Development of new models and methods. Norsk Regnesentral. NR-notat SAND/08/88. 1988.
. Statistical permeability from wireline logs by switching and Markov regime models. Norsk Regnesentral. NR-notat SAND/12/88. 1988.
. Prediksjon av lithofacies og permeabilitet. En metodeutprøvning basert på data fra tre Troll-brønner. Norsk Regnesentral. NR-notat SAND/03/88. 1988.
. En undersøkelse av muligheten for å skille vannsoner fra oljesoner på grunnlag av loggmålinger. Norsk Regnesentral. NR-notat SAND/15/88. 1988.
. Kan en computer inndele en brønn i sedimentære facies uten å anvende andre data enn logger? Norsk Regnesentral. NR-notat SAND/31/88. 1988.
. Estimating compaction using the Formation Subsidence Monitoring Tool: Development of new models and methods. Norwegian Computing Centre. Research Reports pp 76. 1988.
1987
. Estimating compaction based on FSMT data; Description and evaluation of the Phillips method. Norsk Regnesentral. NR-notat SAND/22/87. 1987.
. Estimating compaction based on FSMT-data: Description and evaluation of the Phillips procedure. Norwegian Computing Centre. Research Reports pp 31. 1987.
1986
. Estimering av parametre i en lineært strukturert kovariansmatrise, anvendt i fjernanalyse. Norsk Regnesentral. Technical Report 782. 1986.
. A comparison of some classification methods in remote sensing by a Monte Carlo study. Norwegian Computing Centre. Research Reports pp 51. 1986.
1985
. Contextual classification of remotely sensed data, based on an auto-correlation model. Stanford University. Technical Report pp 36. 1985.
Compendium
2006
. Noen konkrete anvendelser i Bayesiansk statistikk - Notat til STK4020. Matematisk Institutt. pp 30. 2006.
1999
. Stochastic simulation, bootstrapping and Monte Carlo testing. 1999.
. Optimization methods for statisticians. Universitetet i Oslo. pp 31. 1999.
1998
. Linear dynamical models, Kalman filtering and statistics. Lecture notes to IN-ST 259. 1998.
1997
. Noen konkrete anvendelser i Bayesiansk statistikk. 1997.
Popular scientific lecture
2020
. Neural networks vs generalized linear models. Annalytics summit; Gjensidige, Oslo, 1/27/2020 - 1/28/2020.
2019
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Big Insight Lunch; Big insight, UiO, NR, Oslo, 4/24/2019. Data Omtale
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Data Science Major Minsk; Open Data Science (ODS.AI), Minsk, 11/30/2019. Fulltekst Omtale Data Sammendrag
. On the use of Bayesian methods in machine learning. Data Science Day 2019; UiO, Blinder, Oslo, 10/16/2019.
2010
. DNA som bevismateriale - Sannsynlighetsregning i rettsalen. Faglig-pedagogisk dag; Universitetet i Oslo, Oslo, 1/8/2010.
2009
. DNA som bevismateriale - Sannsynlighetsregning i praksis. MIT - introduksjonsprogram; Matematisk institutt, Universiteet i Oslo, 8/11/2009.
2007
. DNA som bevismateriale Sannsynlighetsregning i rettssalen. Skoleforedrag; Jessheim Videregådende skole, Jessheim, 4/27/2007.
. DNA som bevismateriale - Sannsynlighetsregning i rettssalen. Foredrag ved besøk til UiO, 5/9/2007.
. Hvorfor data + data = sant: Fra telling av fisk til DNA-profiler av voldsmenn. Åpen dag 2007; Universitetet i Oslo, Blindern, Oslo, 3/8/2007.
2006
. Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn. Åpen dag 2006; Universitetet i Oslo, Blindern, Oslo, 3/9/2006.
2005
. Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn. Åpen dag; Universitetet i Oslo, Universitetet i Oslo, 3/8/2005.
. Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn. , .
2003
. Bayes teorem i genetikk og miljøovervåkning. Videregående skoledag; Universitetet i Oslo, 3/6/2003.
1995
. Simulering - hva, hvordan, hvorfor. Fagpedagogisk dag; Oslo, Norway, 1/1/1995.
Article in business/trade/industry journal
1989
. Data reduction by separation of signal and noise components for multi spatial images. Ukjent 1989.
1985
. Contextual classification of remotely sensed data, based on an autocorrelation model. Ukjent 1985.
Interview
2011
. Tilfeldig! Neppe? En statistiker klarte å knekke vinnerkoden i et stort kanadisk skrapelotteri. Hvor tilfeldig er vinnertallene? 2011. forskning.no [Internet] 8/24/2011. Fulltekst
| Name: | Geir Olve Storvik |
| Title: | Professor II |
| Phone: | (+47) +47 22 85 58 94 |
| Email: | @ |
| Scientific areas: | Statistical analysis, Fisheries |
| Add to contacts (vCard) |
| Show publications |
Academic article
2021
. Flexible Bayesian Nonlinear Model Configuration. The journal of artificial intelligence research (ISSN 1076-9757). 72 pp 901-942. doi: 10.1613/JAIR.1.13047. 2021. Arkiv Sammendrag Fulltekst
. Clustering and automatic labelling within time series of categorical observations - with an application to marine log messages. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 70(3) pp 714-732. doi: 10.1111/rssc.12483. 2021. Arkiv
2020
. A Bayesian binomial regression model with latent gaussian processes for modelling DNA methylation. Austrian Journal of Statistics (ISSN 1026-597X). 49(4) pp 46-56. doi: 10.17713/ajs.v49i4.1124. 2020. Fulltekst Data Arkiv
2019
. Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes. PLoS Computational Biology (ISSN 1553-734X). 15(2) pp 1-13. doi: 10.1371/journal.pcbi.1006731. 2019. Arkiv
2018
. A Novel Algorithmic Approach to Bayesian Logic Regression. Bayesian Analysis (ISSN 1936-0975). 15(1) pp 263-311. doi: 10.1214/18-BA1141. 2018. Arkiv Fulltekst
. Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. International Journal of COMADEM (ISSN 1363-7681). 21(4) pp 7-18. 2018. Fulltekst
. Mode jumping MCMC for Bayesian variable selection in GLMM. Computational Statistics & Data Analysis (ISSN 0167-9473). 127 pp 281-297. doi: 10.1016/j.csda.2018.05.020. 2018. Arkiv
2017
. Coordinates and intervals in graph-based reference genomes. BMC Bioinformatics (ISSN 1471-2105). 18:263 pp 1-8. doi: 10.1186/s12859-017-1678-9. 2017. Arkiv
. Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models. Journal of Animal Ecology (ISSN 0021-8790). 86(4) pp 888-898. doi: 10.1111/1365-2656.12678. 2017. Arkiv
. Latent Gaussian models to predict historical bycatch in commercial fishery. Fisheries Research (ISSN 0165-7836). 185 pp 62-72. doi: 10.1016/j.fishres.2016.09.033. 2017. Arkiv Fulltekst
2016
. Latent gaussian models to decide on spatial closures for bycatch management in the barents sea shrimp fishery. Canadian Journal of Fisheries and Aquatic Sciences (ISSN 0706-652X). 73(8) pp 1271-1280. doi: 10.1139/cjfas-2015-0322. 2016. Arkiv Fulltekst
. Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes. Proceedings of the National Academy of Sciences of the United States of America (ISSN 0027-8424). 113(52) pp 15030-15035. doi: 10.1073/pnas.1525749113. 2016.
. A comparative study of qualitative and quantitative models used to interpret complex STR DNA profiles. Forensic Science International: Genetics (ISSN 1872-4973). 25 pp 85-96. doi: 10.1016/j.fsigen.2016.07.016. 2016. Arkiv
. EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts. Forensic Science International: Genetics (ISSN 1872-4973). 21 pp 35-44. doi: 10.1016/j.fsigen.2015.11.008. 2016. Arkiv
2015
. Persistence of plague outbreaks among great gerbils in Kazakhstan: effects of host population dynamics. Population Ecology (ISSN 1438-3896). 57(3) pp 473-484. doi: 10.1007/s10144-015-0500-7. 2015.
2014
. Basin-scale phenology and effects of climate variability on global timing of initial seaward migration of Atlantic salmon (Salmo salar). Global Change Biology (ISSN 1354-1013). 20(1) pp 61-75. doi: 10.1111/gcb.12363. 2014.
2013
. Particle move-reweighting strategies for online inference. Statistical research report (Universitetet i Oslo. Matematisk institut (ISSN 0806-3842). 2013. Arkiv
. Hunter selection and long-term trend (1881-2008) of red deer trophy sizes in Hungary. Journal of Applied Ecology (ISSN 0021-8901). 50(1) pp 168-180. doi: 10.1111/1365-2664.12004. 2013.
2012
. A Bayesian modelling framework for the estimation of catch-at-age of commercially harvested fish species. Canadian journal of fisheries and aquatic sciences. Supplem ent = Journ al canadien des sciences halieutiques et aquati qu (ISSN 0714-7937). 69(12) pp 2064-2076. doi: 10.1139/CJFAS-2012-0075. 2012.
. Are responses of herbivores to environmental variability spatially consistent in alpine ecosystems? Global Change Biology (ISSN 1354-1013). 18(10) pp 3050-3062. doi: 10.1111/j.1365-2486.2012.02733.x. 2012.
. Contemporary ocean warming and freshwater conditions are related to later sea age at maturity in Atlantic salmon spawning in Norwegian rivers. Ecology and Evolution (ISSN 2045-7758). 2(9) pp 2192-2203. doi: 10.1002/ece3.337. 2012. Arkiv
. Improving management decisions by predicting fish bycatch in the Barents Sea shrimp fishery. ICES Journal of Marine Science (ISSN 1054-3139). 69(1) pp 64-74. doi: 10.1093/icesjms/fsr172. 2012.
2011
. Quantifying the Ocean, Freshwater and Human Effects on Year-to-Year Variability of One-Sea-Winter Atlantic Salmon Angled in Multiple Norwegian Rivers. PLOS ONE (ISSN 1932-6203). 6(8) doi: 10.1371/journal.pone.0024005. 2011. Arkiv
. Emergence, spread, persistence and fade-out of sylvatic plague in Kazakhstan. Proceedings of the Royal Society of London. Biological Sciences (ISSN 0962-8452). 278(1720) pp 2915-2923. doi: 10.1098/rspb.2010.2614. 2011.
. On the flexibility of Metropolis-Hastings acceptance probabilities in auxiliary variable proposal generation. Scandinavian Journal of Statistics (ISSN 0303-6898). 38(2) pp 342-358. doi: 10.1111/j.1467-9469.2010.00709.x. 2011.
2009
. On the Combination of Multisensor Data Using Meta-Gaussian Distributions. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 47(7) pp 2372-2379. doi: 10.1109/TGRS.2009.2012699. 2009.
. Posterior Predictive p-values in Bayesian Hierarchical Models. Scandinavian Journal of Statistics (ISSN 0303-6898). 36(2) pp 320-336. doi: 10.1111/j.1467-9469.2008.00630.x. 2009.
2008
. On the combination of correlated images using meta-Gaussian distributions. Ukjent 2008.
2007
. The DNA database search controversy revisited: bridging the Bayesian-Frequentist gap. Biometrics (ISSN 0006-341X). 63 pp 922-925. doi: 10.1111/j.1541-0420.2007.00751.x. 2007.
. Fish and oil in the Lofoten-Barents Sea system: synoptic review of the effect of oil spills on fish populations. Marine Ecology Progress Series (ISSN 0171-8630). 339 pp 283-299. 2007.
2005
. Estimating catch-at-age by combining data from different sources. Canadian Journal of Fisheries and Aquatic Sciences (ISSN 0706-652X). 62 doi: 10.1139/f05-026. 2005. Fulltekst
. A Bayesian approach to classification of multi-scale remote sensing data. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 43(3) pp 539-547. doi: 10.1109/TGRS.2004.841395. 2005.
2004
. Estimating catch at age from market sampling data by using a Bayesian hierarchical model. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 53 pp 1-14. doi: 10.1111/j.1467-9876.2004.00422. 2004.
. Inferring the most likely geographical origin of mtDNA sequence profiles. Annals of Human Genetics (ISSN 0003-4800). 68(5) pp 461-471. 2004.
2003
. Estimating criticdal load exceedance by combining the EMEP model with data from stations. Science of the Total Environment (ISSN 0048-9697). 310 pp 163-170. 2003.
. A hierarchical modelling approach to combining environmental data at different resolutions. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 52(3) pp 377-390. 2003.
. Estimating Critical load exceedance by combining the EMEP model with data from measurement stations. Ukjent 310 pp 163-170. 2003.
2002
. Stationary Space Time Gaussian Fields and their time autoregressive representation. Statistical Modelling (ISSN 1471-082X). 2 pp 139-161. 2002.
. Particle filters for state space models with the presence of unknown static parameters. IEEE Transactions on Signal Processing (ISSN 1053-587X). 50 pp 281-289. 2002.
. Space-time Gaussian fields and their time-autoregressive representation. Statistical Modelling (ISSN 1471-082X). 2002 pp 139-161. 2002.
. Particle filters in state space models with the presence of unknown static parameters. Ukjent 50 (2) 2002.
. Large-scale integer programs in image analysis. Operations Research (ISSN 0030-364X). 50(3) pp 490-500. 2002.
2000
. A Bayesian Analysis of Bisphosphonate Effects and Cost-Effectiveness in Post-menopausal Osteoporosis. Pharmacoepidemiology and Drug Safety (ISSN 1053-8569). 9 pp 501-509. 2000.
. Lagrangian based methods for finding {MAP} solutions for {MRF} models. IEEE Transactions on Image Processing (ISSN 1057-7149). 9 pp 469-479. 2000.
. Lagrangian based methods for finding MAP solutions for MRF models. IEEE Transactions on Image Processing (ISSN 1057-7149). 9(3) pp 469-479. 2000.
1999
. Automatic detection of oil spills in ERS SAR images. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 37(4) pp 1916-1924. doi: 10.1109/36.774704. 1999.
1995
. Segmentation of brain parenchyma and cerebrospinal-fluyid in multispectral magnetic-resonance images. IEEE Transactions on Medical Imaging (ISSN 0278-0062). 14(2) pp 339-349. 1995.
1994
. Tissue classification in MR images based on a mixed pixel model. Ukjent 1994.
. A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence (ISSN 0162-8828). 16(10) pp 976-986. 1994.
1993
. Methods for updating of model parameters applied within the area of symbol recognition. Ukjent 1993.
. Data-reduction by separation of signal and noise components for multivariate spatial images. Journal of Applied Statistics (ISSN 0266-4763). 1 1993.
. Segmentation of brain parenchyma and CSF in multispectral MR images of the head. Ukjent 1993.
. Data reduction by separation of signal and noise components for multivariate spatial images. Journal of Applied Statistics (ISSN 0266-4763). 20(1) pp 127-136. 1993.
. Volume-calculations in MR-images of the brain. Ukjent 1993.
1992
. Space-time modeling of simply connected objects: An application to detection of left ventricular cardiac boundaries from ultrasound images. Ukjent 1992.
1991
. Automated prediction of sedimentary facies from wireline logs. Ukjent 1991.
1988
. Statistical permeability prediction from wireline logs by switching and Markov regime models. Ukjent 1988.
1987
. A simulation study of some contextual classification methods for remotely sensed data. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 25 pp 796-804. 1987.
1986
. A simulation study of some contextual classification methods for remotely sensed data. Ukjent 1986.
Academic literature review
2007
. Fish and oil in the Lofoten-Barents Sea system: synoptic review of the effect of oil spills on fish populations. Marine Ecology Progress Series (ISSN 0171-8630). 339 pp 283-299. 2007.
Short communication
2020
. Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression". Bayesian Analysis (ISSN 1936-0975). 15(1) pp 312-333. doi: 10.1214/18-ba1141. 2020. Arkiv Fulltekst
Letter to the editor
2017
. Reply to Enberg and Jørgensen: Ecology and evolution both matter for explaining stock dynamics. 2017.
Academic chapter/article/Conference paper
2021
. Reversible genetically modified mode jumping MCMC. In: 22nd European Young Statisticians Meeting – Proceedings. (ISBN 978-960-7943-23-1). pp 35-40. 2021. Sammendrag Fulltekst
2019
. Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data. In: Proceedings of Computer Data Analysis and Modeling: Stochastics and Data Science 2019. (ISBN 978-985-566-811-5). pp 167-171. 2019. Fulltekst
. Climate and synchrony of lamb body mass. In: Contributions in natural resource economics. Festschrift to Anders Skonhoft. (ISBN 9788245024715). pp 183-197. 2019.
2017
. Anomaly Detection Using Dynamical Linear Models and Sequential Testing on a Marine Engine System. In: PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. (ISBN 978-1-936263-26-4). pp 185-200. 2017. Fulltekst
2016
. On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM. In: COMPUTER DATA ANALYSIS AND MODELING. Theoretical and Applied Stochastics. Proceedings of the XI International Conference. (ISBN 978-985-553-366-6). pp 275-278. doi: 10.1016/j.csda.2018.05.020. 2016. Omtale Fulltekst
2014
. Reweighting Schemes Based on Particle Methods. In: The Contribution of Young Researchers to Bayesian Statistics. (ISBN 978-3-319-02084-6). pp 73-76. doi: 10.1007/978-3-319-02084-6_14. 2014.
2012
. Bayesian methods. In: Medical statistics in clinical and epidemiological research. (ISBN 9788205399594). pp 559-584. 2012.
. Bootstrapping. In: Medical statistics in clinical and epidemiological research. (ISBN 9788205399594). pp 402-428. 2012.
2007
. Classifying Oil Spills and Look-Alikes in Envisat ASAR Images. In: Proceedings of the Envisat Symposium 2007 - Montreux, Switzerland. (ISBN 0000000000). 2007. Omtale
2003
. Some further topics on Monte Carlo methods for dynamic Bayesian problems. In: Highly Structured Stochastic Systems. (ISBN 0198510551). pp 228-231. 2003.
. Scientific Explanation in Econometrics - A case study. In: Econometrics and the Philosophy of Economics. Theory-Data Confrontations in Economics. (ISBN 0-691-11300-9). pp 578-612. 2003.
2002
. Simulation and Monte Carlo Methods. In: Encyclopedia of Environmetrics. (ISBN 9780471899976). 2002.
2001
. Deterministic and stochastic particle filters in state space models. In: Sequential Monte Carlo in Practice. pp 97-116. 2001. Fulltekst
Academic lecture
2022
. Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks. Biometric Colloquium; Vienna, 7/26/2022. Sammendrag Data Fulltekst
2021
. Reversible Genetically Modified MCMCs. 22nd European Young Statisticians Meeting; Athens, Greece, Online, 9/6/2021 - 9/10/2021. Sammendrag Fulltekst
. Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. 2021 World Meeting of the International Society for Bayesian Analysis; Online, 6/23/2021 - 7/2/2021. Sammendrag Fulltekst
. Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks. The 28th Nordic Conference in Mathematical Statistics; Tromsø, 6/21/2021 - 6/24/2021. Fulltekst Sammendrag
2020
. A novel algorithmic approach to Bayesian Logic Regression. Bayesian Analysis discussion paper webinar; online, 2/26/2020. Omtale Data
2019
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Nordic Probabilistic AI School; Trondheim, 6/3/2019 - 6/7/2019. Data Fulltekst
. Combining model and parameter uncertainty in Bayesian neural networks. CMStatistics 2019; London, 12/14/2019 - 12/16/2019.
. Bayesian approaches to neural networks. Workshop in Data Science; Halden, 11/1/2019 - 11/2/2019.
2018
. Deep Bayesian regression models. Machine learning seminar at UiO; Oslo, 12/13/2018.
. Deep Bayesian regression models. Seminar on Bayesian Methods in Machine Learning; Yandex School of Data Analysis, Moscow, 3/16/2018.
. Specification of mutation probabilities through Metropolis-Hastings steps. Advanced Statistical and Stochastic Methods in Forensic Genetics; Køln, 8/27/2018 - 8/31/2018.
2017
. A novel algorithmic approach to Bayesian Logic Regression. Tuesday Seminar at UiO; Blindern, 4/25/2017.
2016
. Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. 29th International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2016; Xian, 8/19/2016 - 8/23/2016.
2015
. Estimation of fish abundance and demography in the Barents sea. 5th Nordic-Baltic Biometric Conference; Reykjavik, 6/8/2015 - 6/10/2015.
2014
. Estimation of static parameters using particle filters and a block independence approximation. 7th International Conference of the ERCIM WG on Computational and Methodological Statistics; Pisa, 12/6/2014 - 12/8/2014.
2013
. Computational tools for analysis of models with latent structures. Klækken workship; Klækken, 5/24/2013.
2012
. Bayesian approaches to neural networks. Workshop on Confidence and uncertainty; Tromsø, 5/6/2012 - 5/6/2021.
2011
. Modelling catch at age for multiple stock. The 16th Norwegian Statistical Conference (NSF 2011), Røros; Røros, 6/17/2011.
2010
. On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms. 23rd Nordic Conference on Mathematical Statistics (NORDSTAT); Voss, 6/14/2010 - 6/17/2010.
. Bayesian analysis of plague in Kazakhstan. Smögen workshop; Smögen, 8/16/2010 - 8/20/2010.
. Contemporary ocean warming and freshwater conditions contribute to delay the completion of maturation in Atlantic salmon throughout the Norwegian range of distribution. ICES Annual Science Conference; Nantes, 9/20/2010 - 9/24/2010.
. Bayesian analysis of plague in Kazakhstan. International Statistical Ecology Conference 2010; University of Kent, 7/6/2010 - 7/9/2010.
2009
. A Bayesian hierarchical modelling approach to estimating landings- and discards-at-age. ICES Annual Science conference, 10/20/2009. Fulltekst
. On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms. EPSRC Symposium Workshop on Markov Chain-Monte Carlo; University of Warwick, 3/16/2009 - 3/20/2009.
. Factors affecting year-to-year and within river variability of one-sea-winter Atlantic salmon in Norwegian rivers. ICES Annual Science Conference; Berlin, 9/21/2009 - 9/25/2009.
. Quantification of evidence when suspects are found by searches through DNA databases. Workshop Forensic Genetics Nov 25, 2009; Oslo, 11/25/2009.
. Plague in Kazakhstan - A case study. PASCAL Workshop on Spatiotemporal Modelling; Edinburgh, 10/12/2009 - 10/14/2009.
. Sekvensiell Monte Carlo (eller Partikkelfiltre). Det 15. Norske Statistikermøte; Jevnaker, 6/16/2009 - 6/18/2009.
2008
. Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model. Statistics Seminar; Bristol, 2/1/2008.
. On the flexibility of importance weights in importance sampling and Markov chain Monte Carlo. Trondheim symposium in statistics; Selbusjøen Hotell & Gjestegård, 9/19/2008 - 9/20/2008.
2007
. The DNA database search controversy revisited: Bridging the Bayesian - Frequentist gap. New faces seminar; Dept of Mathematics, University of Bristol, 11/16/2007.
. Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model. NCSE seminar ved CREEM; St. Andrews, 11/27/2007.
. Posterior and Prior Predictive p-values in Bayesian Hierarchical models. Statistics Seminars, University of St Andrews; St. Andrews, 11/26/2007.
. Intro til Bayesiansk Statistikk. Faglig seminar; Kjeller, 2/16/2007.
2005
. Identification of DNA profiles from mixture samples. International Biometric Society International Biometric Society - Nordic Regional Conference Nordic Regional Conference; Oslo, 6/2/2005 - 6/4/2005.
. Modell-evaluering i Bayesianske modeller. 17. Norske Kjemometrisymposium; Geilo, 3/14/2005 - 3/16/2005.
. Bayesian assessment of Bowhead whales. Integrated modeling and analysis 2005; Oslo, 10/19/2005 - 10/21/2005.
. Evaluation of evolutionary models in phylogenetic inferences. The Bioportal lecture series; Oslo, 11/10/2005.
2003
. Joint distribution for correlated radar images. International Geoscience and Remote Sensing Symposium (IGARSS'03); Tolouse, 7/21/2003 - 7/25/2003.
. Parameter estimation and classification of multi-scale remote sensing data. International Geoscience and Remote Sensing Symposium (IGARSS'03); Toulouse, 7/21/2003 - 7/25/2003. Fulltekst
. Joint distributions for multi-temporal series of radar images. Second International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp'03); Ispra, 7/16/2003 - 7/18/2003. Fulltekst
. A hierarchical modelling approach to combining environmental data at different scales. Detecting Environmental Change, Proceedings, London, 1/1/2003.
2002
. A Comparison of Criteria for Decision Fusion and Parameter Estimation in Statistical Multisensor Image Classification. International Geoscience and Remote Sensing Symposium (IGARSS 02); Toronto, 6/1/2002.
. A new approach to statistical multisensor image classification. IGARSS'02; Toronto, 6/24/2002 - 6/28/2002.
2001
. Modelling and computational issues for time autoregressive spatial processes. Syddansk Universitet, institutt for statistikk og demografi; Odense, 12/19/2001.
. A hierarchical modelling approach to combining environmental data at different resolutions. RSS converence; Glasgow, 7/1/2001.
. Use of Bayesian statistics in pharmacoepidemiology and pharmacoeconomics: an example with drug effects in osteoporosis. 3rd Meeting of the Federation of the European Pharmacological Societies (EPHAR); Lyon, 1/1/2001.
. Estimating catch-at-age from market sampling data using a Bayesian hierarchical model. ICES-conference; Oslo, Norway, 10/26/2001.
. Combining Markov Chain Monte Carlo and importance sampling. Universitetet i Oslo, Mat. Inst, avdeling for statistikk; Oslo, 11/5/2001.
2000
. Tid til felles stamfar. Seminar om genetikk og statistikk, arrangert av Norsk Regnesentral, 1/1/2000.
. Some further topics on Monte Carlo methods for dynamic Bayesian problems. Models and inference in HSSS: Recent developments and perspectives, 10/1/2000.
. A hierarchical modelling approach to space-time air pollution data. 18th Nordic Conference on Mathetmatical Statistics; Grimstad, Norway, 1/1/2000.
. Structural Modeling for Spatial and Spatio-temporal processes. Department of statistics and Demography, Odense University; Odense, Denmark, 1/1/2000.
. Tidsrekkeanalyse. vordan ta optimale beslutninger i et kortsiktig marked; Rica Hell Hotell, 3/14/2000.
1999
. Tidsrekkeanalyse. Fagseminar arrangert av Enfo om Hvordan ta optimale beslutinger i et kortsiktig, 1/1/1999.
. Modell-strategier for Gaussiske rom-tid prosesser: Direkte modellering av kovariansstrukturer mot hierarkisk modellering. Seminar ved Avd. C, Mat. Inst, Univ. i Oslo; Oslo, 12/1/1998.
. Space-time Gaussian Fields and their time-autoregressive representation. Workshop: Statistical modelling of spatial and space-time processes; Luminy, France, 12/1/1998.
. Tdisrekker. Fagseminar arrangert av Norsk Hydro Energi; Oslo, 12/1/1998.
. Large-scale integer programs in image analysis. Sixth SIAM Conference on Optimization; Atlanta, 5/12/1999.
. Large-scale integer programs in image analysis. Combinatorial optimization; Matematisches Forschungsinstitut Oberwolfach, 1/13/1999.
1996
. Bayesian Surface Reconstruction from Noisy Images. Interface'96; Sydney, Australia, 7/1/1996. Fulltekst
1995
. Tissue classification in MR images based on a mixed pixel model. 9th Scandinavian Conference on Image Analysis; Uppsala, Sweden, 1/1/1995.
1994
. Recognition of spikes in EEG patterns using hidden Markov chains. 15th Nordic Conference on Mathematical Statistics; Lund, Sweden, 8/1/1994.
1993
. Segmentation of brain parenchyma and CSF in multispectral images of head. Scandinavian Conference on Image Analysis. 8; [Mangler data], .
. Segmentation of brain parenchyma and CSF in multispectral MR images of the head. The 8th SCIA Conference; Tromsø, Norway, 1/1/1993.
. Methods for updating of model parameters applied within the area of symbol recognition. The 8th SCIA Conference; Tromsø, Norway, 1/1/1993.
. Statistical analysis of multispectral MR images from the brain. Statistical Methods in Vision. Isaac Newton Institute for Mathematical Sciences, University of Cambr, 10/18/1993.
. Statistiske metoder i medisinsk bildebehandling. Norsk Statistikerforening. Oslo, 2/22/1993.
. Statistiske metoder i medisinsk billebehandling. Modellforum; Oslo, 1/1/1993.
1992
. Space-time modeling of simply connected objects: an application to detection of left ventricular cardiac boundaries from ultrasound image. Interface'92; Texas, USA, 1/1/1992.
. Combining range and intensity data with a hidden Markov model. 11th IAPR Conference; Haag, Holland, 10/1/1992.
. Combining range and intensity data with a hidden Markov model. NOBIM konferansen; Trondheim, Norway, 6/1/1992.
. Gjenkjenning av konturer i støyfylte bilder. Institutt for Informatikk, Universitetet i Oslo, 9/30/1992.
. Boundary detection in noisy images. Department of Informatics, Univ. of Oslo; Oslo, 11/1/1992.
1991
. Stochastic heterogeneity models of thin, laterally continuous North Sea sandstones and their influence on simulated reservoir performance, SPE 22696. Society of Petroleum Engineers, 66th annual technical conference & exhibition; Dallas, Texas, 10/6/1991.
. Automated predication of sedimentary facies from wireline logs. Geological Applications of Wireline logs II; London, 9/1/1991.
. Stochastic regime models and wireline log data. ISI, 48th Biennial Session; Cairo, 1/1/1991.
. Stochastic regime models and wireline log data. ISI, 48th Biennial Session; Cairo, 1/1/1991.
1990
. Stochastic flow unit modelling of a North Sea coastal-deltaic reservoir. IEA Collaborative Project on EOR, Workshop and Symposium. Paris, 10/8/1990.
. Development of DESIRE modelling tool. SPOR seminar, 1/1/1990.
1989
. Data reduction by separation of signal and noise components for multivariate spatial images. Stanford University, Department of Statistics, 7/1/1989.
1988
. Statistical permeability prediction from wireline logs by switching and Markov regime models. Transactions of the 11th European Formation Evaluation Symposium; Oslo, 1/1/1988.
Lecture
2020
. "Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models". DEEP NEURAL NETWORKS 2020 Applications, best practices and perspectives; Oslo, 2/6/2020.
2019
. Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data. CDAM 2019; Minsk, 9/18/2019 - 9/22/2019.
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. CDAM 2019; Minsk, 9/18/2019 - 9/22/2019.
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. CRONOSMDA2019; Limassol, 4/14/2019 - 4/16/2109 1:00:00 AM.
. Flexible Bayesian Nonlinear Model Configuration. Biomathematics and Statistics seminar series; Gøteborg, 11/27/2019.
. Bayesian approaches to neural networks. Centre for Bioinformatics weekly meeting; Blindern, Oslo, 11/5/2019.
. Education in Statistics and Data Science at the University of Oslo. Cramer Society Meeting; Uppsal, 9/30/2019 - 10/1/2019.
. Bayesian approaches to neural networks. Under the hood: Explaining what goes on inside DNN/AI; Oslo, 9/10/2019.
2018
. Deep Bayesian regression models. NORDSTAT2018 conference; Tartu, 6/26/2018 - 6/29/2018.
. Preliminaries for Deep Neural Networks: Recapture of Linear Algebra, Gradient Descents and Generalized Linear Models. DEEP NEURAL NETWORKS - Applications, best practices and perspectives; Startup Lab, Oslo, 10/25/2018.
. Statistical analysis for Time series. DNB ReSkill program; STartup Lab, Oslo, 10/18/2018.
2017
. Deep non-linear regression models in a Bayesian framework. Biometrischen Kolloquium; Vienna, 10/16/2017.
. Variable selection in binomial regression with latent Gaussian field models for analysis of epigenetic data. CEN-ISBS-2017; Vienna, 8/28/2017 - 9/1/2017.
. A novel GMJMCMC algorithm for Bayesian Logic Regression models. ML@UiO; Oslo, 6/1/2017.
2016
. On Mode Jumping in MCMC for Bayesian Variable Selection within GLMM. 11th International Conference COMPUTER DATA ANALYSIS & MODELING 2016 Theoretical & Applied Stochastics; Minsk, 9/6/2016 - 9/9/2016.
. VARIABLE SELECTION IN BINOMIAL REGRESSION WITH LATENT GAUSSIAN FIELD MODELS FOR ANALYSIS OF EPIGENETIC DATA. Game of Epigenomics Conference; Dubrovnik, 4/24/2016 - 4/28/2016.
. Variable selection in logistic regression with a latent Gaussian field models with an application in epigenomics. Guest Lecture; Vienna, 3/21/2016.
2015
. On model selection in Hidden Markov Models with covariates. Klækken Workshop 2015; Klækken, 5/29/2015.
. Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data. CMStatistics 2015; London, 12/11/2015 - 12/14/2015.
. Variable selection in binomial regression with a latent Gaussian field models for analysis of epigenetic data. Norbis Annual Meeting 2015; Rosendal, 10/27/2015 - 10/30/2015.
. Estimation of fish abundance and demography in the Barents sea. Seminar; Lancaster University, 2/13/2015.
Poster
2022
. Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. NLDL 2022; Tromsø, 1/10/2022 - 1/12/2022.
. A subsampling approach for Bayesian model selection. ISBA 2022; Motreal, 6/26/2022 - 7/1/2022.
2018
. Deep Bayesian regression models. NORBIS annual meeting 2018; Voss, 10/17/2018 - 10/19/2018.
. Deep Bayesian regression models. IBC2018; Barcelona, 7/8/2018 - 7/13/2018.
2017
. A novel algorithmic approach to Bayesian Logic Regression. 2017 14th Graybill Conference on Statistical Genomics and Genetics; Fort Collins, 6/5/2017 - 6/7/2017.
. Efficient mode jumping MCMC for Bayesian variable selection and model averaging in GLMM. Geilo Winter School 2017; Geilo, 1/15/2017 - 1/20/2017.
2016
. Efficient mode jumping MCMC for Bayesian variable selection in GLM with random effects models. NordStat 2016; Copenhagen, 6/27/2016 - 6/30/2016.
2010
. Environmental effects on ocean entry of Atlantic salmon (Salmo salar) smolt across its range of distribution. ICES Annual Science Conference; Nantes, 9/20/2010 - 9/24/2010.
. Emergence, Spread, Persistence and Fade-out of Sylvatic Plague in Kazakhstan. International Statistical Ecology Conference 2010; University of Kent, 7/6/2010 - 7/9/2010.
2006
. Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model. Valencia International Meetings on Bayesian Statistics; Benidorm, 6/2/2006 - 6/7/2006.
. P-values in Bayesian hierarchical models. Valencia International Meetings on Bayesian Statistics; Benidorm, 6/2/2006 - 6/7/2006.
2003
. Joint distributions for multitemporal series of radar images. Multitemp 2003; Ispra, 7/15/2003 - 7/17/2003.
2001
. A hierarchical modelling approach to combining environmental data at different resolutions. DEC conference; London, 7/1/2001.
Doctoral dissertation
2018
. On Monte Carlo Contributions for Real-time Probabilistic Inference. University of Oslo. 2018.
. Bayesian model configuration, selection and averaging in complex regression contexts. University of Oslo. 2018.
Report
2016
. SAVE – tracking vehicle movements for toll object detection using particle filter. Norsk Regnesentral. NR-notat SAMBA/18/16. pp 24. 2016.
. Catch-at-age - Version 4.0: Technical Report. Norsk Regnesentral. NR-notat SAMBA/54/16. pp 28. 2016.
2015
. A State-Space Model for Abundance Estimation from Bottom Trawl Data with Applications to Norwegian Winter Survey. Matematisk Institutt, UiO. Preprint Series in Statistics 1. pp 15. 2015. Arkiv
2011
. Catch-at-age for multiple stocks: Modelling Skrei and Coastal Cod simultaneously. Norsk Regnesentral. NR-notat SAMBA/46/11. pp 17. 2011.
. Catch-at-age - Version 2.0: Technical Report. Norsk Regnesentral. NR-notat SAMBA/44/11. pp 25. 2011.
2007
. Implementing the catch-at-age program for FRS Aberdeen. Norsk Regnesentral. NR-notat SAMBA/09/2007. pp 20. 2007.
2006
. The DNA database search controversy revisited: Bridging the Bayesian -- Frequentistic gap. Department of Mathematics, University of Oslo. pp 6. 2006.
. Modelling pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time modedel. Department of Mathematics, University of Oslo. Statistical research report (Universitetet i Oslo. Matematisk institut 4. pp 30. 2006. Fulltekst
2005
. Bayesian estimation of catc-at-age using data from several sources. Norsk Regnesentral. NR-notat SAMBA/21/05. 2005.
2004
. Spatial-Temporal Uncertainty for Survey-Based Abundance Estimates. Norsk Regnesentral. NR-notat SAMBA/25/04. pp 8. 2004.
2003
. Parameter estimation and classification of multi-scale remote sensing data. Norsk Regnesentral. pp 36. 2003.
. Joint distribution of correlated radar images. Norsk Regnesentral. NR-notat SAMBA/30/03. pp 34. 2003. Fulltekst
2002
. Integration of multisource image data at different resolutions and time points. A mathematical framework for EOtools. Norsk Regnesentral. pp 36. 2002. Fulltekst
. Segmentation of crate contours. Norsk Regnesentral. pp 20. 2002.
2001
. Particle filters in state space models with the presence of unknown static parameters. Department of Statistics and Demography. Conference proceedings (Universitetet i Oslo. Institutt for informatikk) 32. (ISBN 87-90700-38-4) pp 23. 2001.
. Estimating catch at age from market sampling data using a Bayesian Hierarchical model. Norsk Regnesentral. pp 20. 2001.
2000
. Recognition of pipes using cross-profile information: A feasibility study. Samba, Norsk Regnsentral. Technical Report 11. 2000.
1999
. Deterministic and stochastic particle filters in state space models. Mat. Inst, Univ. i Oslo. Statistical research report (Universitetet i Oslo. Matematisk institut 11. 1999.
. Deterministic and stochastic particle filters in state space models. Universitetet i Oslo, Matematisk Institutt. Statistical research report (Universitetet i Oslo. Matematisk institut 1999.
1998
. Seismic image analysis: 3D texture attributes and classification - part III. Norsk Regnesentral. NR-notat SAMBA/21/98. 1998.
1997
. Assessment of the scientific documentation of the drugs etidronat (Didronate) and alendronat (Fosamax) for the reduction of the number of fractures among women with osteoporosis. An analysis based on Bayesian statistics. Department of Mathematics, University of Oslo. Statistical research report (Universitetet i Oslo. Matematisk institut 9. 1997. Fulltekst
. Slick signature screening: Algorithm improvement. Norsk Regnesentral. NR-notat BILD/04/97. pp 55. 1997.
. Seismic image analysis: 3D texture attributes and classification - part II. Norsk Regnesentral. NR-notat BILD/07/97. pp 60. 1997.
. Formation Evaluation Workstation, FEW, Stage 4, Final report on research and development 1996. Norsk Regnesentral. NR-notat BILD/02/97. pp 143. 1997.
. Seismic image analysis: A pilot study for investigating the relevance of using image analysis techniques on seismic data. Norsk Regnesentral. NR-notat BILD/06/97. 1997.
1996
. Uncertainties of reservoir parameters in a Bayesian framework. Norsk Regnesentral. NR-notat SAND/02/96. pp 70. 1996.
1995
. Textural segmentation in 1D through sequences of double stochastic segments. Norsk Regnesentral. NR-notat BILD/04/95. pp 66. 1995.
. Recognition of spikes in EEG-signals: Further experimentations with the Hidden Markov Chain model. Norsk Regnesentral. NR-notat BILD/08/95. 1995.
1994
. Hidden Markov Chains for recognition of structures in time series. Norsk Regnesentral. Technical Report 880. 1994.
1993
. Markov Chain simulations for analysis of marked point processes. Norsk Regnesentral. Report at the Norwegian Computing Center 869. pp 34. 1993.
. Assessment of tissue perfusion and characterization of lesions in dynamical MRI using contrast agents and statistical analysis - methodological considerations and clinical applications. Norsk Regnesentral. NR-notat BILD/10/93. pp 70. 1993.
. Diagnostic evaluation of contrast agents in medical imaging - proposals towards quantitative assessment. Norsk Regnesentral. NR-notat BILD/03/93. pp 100. 1993.
. Thermography in combination with image analysis and pattern recognition techniques as a diagnostic tool after whiplash accident/injury - A feasibility study based on a small sample of patients and healthy volunteers. Norsk Regnesentral. NR-notat BILD/05/93. pp 44. 1993.
. Evaluering av kontrastmidler ved hjelp av bildebehandling. 1993.
. Classification of mixed pixels. Technical Report 870. 1993.
1992
. An evaluation of statistical modeling in magnetic resonance imaging using images fron the central nervous system aquired with and without a Gladolium-based contrast medium. Norsk Regnesentral. Report at the Norwegian Computing Center 855. (ISBN 82-539-0348-0) pp 47. 1992.
. Relations between wireline logs and seismic data. Pilot project. Norsk Regnesentral. NR-notat SAND/04/92. 1992.
. Multispectral analysis and classification system (cxxmacs): Users manual. Norsk Regnesentral. Report at the Norwegian Computing Center 863. (ISBN 82-539-0356-1) pp 86. 1992.
. Methods for updating of model parameters applied within the area of symbol recognition. Norsk Regnesentral. Report at the Norwegian Computing Center 859. (ISBN 82-539-0352-9) pp 30. 1992.
. Improving statistical image classification by updating model parameters using unclassified pixels. Norsk Regnesentral. Report at the Norwegian Computing Center 857. (ISBN 82-539-0350-2) pp 26. 1992.
. Data-reduction by projections for multivariate spatial images. 853. (ISBN 82-539-0346-4) pp 23. 1992.
. A Bayesian approach to dynamic contours. 860. pp 83. 1992.
1991
. Classification of objects in multi-spectral images. Norsk Regnesentral. NR-notat BILD/01/91. 1991.
. Programmering i C - retningslinjer og råd for SAND. Norsk Regnesentral. NR-notat SAND/02/91. pp 28. 1991.
. Predicting sedimentary facies from wireline logs II: Further testing and developments. Norsk Regnesentral. NR-notat SAND/01/91. pp 37. 1991.
1990
. DESIRE - Et programsystem for stokastisk simulering av reservoarkarakteristika. Modellbeskrivelse og brukerdokumentasjon. Versjon 3.0. Norsk Regnesentral. NR-notat SAND/21/90. 1990.
. User's manual for the sedimentary facies indentification (SEDFACI) system. Norsk Regnesentral. NR-notat SAND/04/90. pp 17. 1990.
1989
. Contextual lithofacies and permeability prediction - (CLAPP System). User manual. Norsk Regnesentral. NR-notat SAND/13/89. 1989.
. Predicting sedimentary facies from wireline logs. Norsk Regnesentral. NR-notat SAND/24/89. 1989.
1988
. Statistiske metoder ved faciesinndeling av et kalksteinsreservoar. Norsk Regnesentral. NR-notat SAND/04/88. 1988.
. Estimating compaction using formation subsidence monitoring tool: Development of new models and methods. Norsk Regnesentral. NR-notat SAND/08/88. 1988.
. Statistical permeability from wireline logs by switching and Markov regime models. Norsk Regnesentral. NR-notat SAND/12/88. 1988.
. Prediksjon av lithofacies og permeabilitet. En metodeutprøvning basert på data fra tre Troll-brønner. Norsk Regnesentral. NR-notat SAND/03/88. 1988.
. En undersøkelse av muligheten for å skille vannsoner fra oljesoner på grunnlag av loggmålinger. Norsk Regnesentral. NR-notat SAND/15/88. 1988.
. Kan en computer inndele en brønn i sedimentære facies uten å anvende andre data enn logger? Norsk Regnesentral. NR-notat SAND/31/88. 1988.
. Estimating compaction using the Formation Subsidence Monitoring Tool: Development of new models and methods. Norwegian Computing Centre. Research Reports pp 76. 1988.
1987
. Estimating compaction based on FSMT data; Description and evaluation of the Phillips method. Norsk Regnesentral. NR-notat SAND/22/87. 1987.
. Estimating compaction based on FSMT-data: Description and evaluation of the Phillips procedure. Norwegian Computing Centre. Research Reports pp 31. 1987.
1986
. Estimering av parametre i en lineært strukturert kovariansmatrise, anvendt i fjernanalyse. Norsk Regnesentral. Technical Report 782. 1986.
. A comparison of some classification methods in remote sensing by a Monte Carlo study. Norwegian Computing Centre. Research Reports pp 51. 1986.
1985
. Contextual classification of remotely sensed data, based on an auto-correlation model. Stanford University. Technical Report pp 36. 1985.
Compendium
2006
. Noen konkrete anvendelser i Bayesiansk statistikk - Notat til STK4020. Matematisk Institutt. pp 30. 2006.
1999
. Stochastic simulation, bootstrapping and Monte Carlo testing. 1999.
. Optimization methods for statisticians. Universitetet i Oslo. pp 31. 1999.
1998
. Linear dynamical models, Kalman filtering and statistics. Lecture notes to IN-ST 259. 1998.
1997
. Noen konkrete anvendelser i Bayesiansk statistikk. 1997.
Popular scientific lecture
2020
. Neural networks vs generalized linear models. Annalytics summit; Gjensidige, Oslo, 1/27/2020 - 1/28/2020.
2019
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Big Insight Lunch; Big insight, UiO, NR, Oslo, 4/24/2019. Data Omtale
. Combining Model and Parameter Uncertainty in Bayesian Neural Networks. Data Science Major Minsk; Open Data Science (ODS.AI), Minsk, 11/30/2019. Fulltekst Omtale Data Sammendrag
. On the use of Bayesian methods in machine learning. Data Science Day 2019; UiO, Blinder, Oslo, 10/16/2019.
2010
. DNA som bevismateriale - Sannsynlighetsregning i rettsalen. Faglig-pedagogisk dag; Universitetet i Oslo, Oslo, 1/8/2010.
2009
. DNA som bevismateriale - Sannsynlighetsregning i praksis. MIT - introduksjonsprogram; Matematisk institutt, Universiteet i Oslo, 8/11/2009.
2007
. DNA som bevismateriale Sannsynlighetsregning i rettssalen. Skoleforedrag; Jessheim Videregådende skole, Jessheim, 4/27/2007.
. DNA som bevismateriale - Sannsynlighetsregning i rettssalen. Foredrag ved besøk til UiO, 5/9/2007.
. Hvorfor data + data = sant: Fra telling av fisk til DNA-profiler av voldsmenn. Åpen dag 2007; Universitetet i Oslo, Blindern, Oslo, 3/8/2007.
2006
. Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn. Åpen dag 2006; Universitetet i Oslo, Blindern, Oslo, 3/9/2006.
2005
. Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn. Åpen dag; Universitetet i Oslo, Universitetet i Oslo, 3/8/2005.
. Hvorfor Data + Data = Sant - Fra telling av fisk til DNA-profiler av voldsmenn. , .
2003
. Bayes teorem i genetikk og miljøovervåkning. Videregående skoledag; Universitetet i Oslo, 3/6/2003.
1995
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