Publication profile
Publication profile
Peter Guttorp
Name:
Peter Guttorp
Title:
Professor II
Phone:
(+47)
Email:
peterg [at] nr [dot] no
Scientific areas:
Space-time models, Extremes, Stochastic modelling, Climate, Environment, Hematology
Add to contacts (vCard) Show publications
Academic anthology/Conference proceedings
2012
(eds). Selected works of David Brillinger. Springer Science+Business Media B.V. (ISBN 9781461413431). pp 613. 2012. Omtale
Academic article
2022
. Effective uncertainty visualization for aftershock forecast maps. Natural Hazards and Earth System Sciences (ISSN 1561-8633). 22(4) pp 1499-1518. doi: 10.5194/nhess-22-1499-2022. 2022.
. Rejoinder to the discussion on “A combined estimate of global temperature”. Environmetrics (ISSN 1180-4009). 33(3) doi: 10.1002/env.2725. 2022.
2021
. A combined estimate of global temperature. Environmetrics (ISSN 1180-4009). doi: 10.1002/env.2706. 2021.
2020
. Flexible spatial covariance functions. Spatial Statistics (ISSN 2211-6753). 37 doi: 10.1016/j.spasta.2020.100416. 2020.
. Interacting cluster point process model for epidermal nerve fibers. Spatial Statistics (ISSN 2211-6753). 35 doi: 10.1016/j.spasta.2020.100414. 2020.
2019
. Beyond Calculations: A Course in Statistical Thinking. American Statistician (ISSN 0003-1305). 73(1) pp 392-401. doi: 10.1080/00031305.2018.1505657. 2019.
2018
. Estimating wildfire growth from noisy and incomplete incident data using a state space model. Environmental and Ecological Statistics (ISSN 1352-8505). pp 1-16. doi: 10.1007/s10651-018-0407-5. 2018. Fulltekst
. Why distinguish between statistics and mathematical statistics? The case of Swedish academia. International Statistical Review (ISSN 0306-7734). pp 1-17. doi: 10.1111/insr.12275. 2018. Fulltekst
2017
. Sea level adaptation decisions under uncertainty. Water Resources Research (ISSN 0043-1397). 53(10) pp 8147-8163. doi: 10.1002/2016WR020354. 2017. Fulltekst
2016
. Calibrating regionally downscaled precipitation over Norway through quantile-based approaches. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO) (ISSN 2364-3579). 2 pp 39-47. doi: 10.5194/ascmo-2-39-2016. 2016. Arkiv Fulltekst
. Discovering early diabetic neuropathy from epidermal nerve fiber patterns. Statistics in Medicine (ISSN 0277-6715). 35(24) pp 4427-4442. doi: 10.1002/sim.7009. 2016.
. What we look at in paintings: A comparison between experienced and inexperienced art viewers. Annals of Applied Statistics (ISSN 1932-6157). 10(2) pp 549-574. doi: 10.1214/16-AOAS921. 2016.
2015
. Predicting extinction or explosion in a Galton–Watson branching process with power series offspring distribution. Journal of Statistical Planning and Inference (ISSN 0378-3758). 167 pp 193-215. doi: 10.1016/j.jspi.2015.04.009. 2015.
. Likelihood-based inference for discretely observed birth–death-shift processes, with applications to evolution of mobile genetic elements. Biometrics (ISSN 0006-341X). 71(4) pp 1009-1021. doi: 10.1111/biom.12352. 2015.
. Statistical prediction of global sea level from global temperature. Statistica sinica (ISSN 1017-0405). 25 pp 351-367. doi: 10.5705/ss.2013.222w. 2015.
2014
. Warm streaks in the U.S. temperature record: What are the chances? Journal of Geophysical Research (JGR): Atmospheres (ISSN 2169-897X). 119(10) pp 5757-5766. doi: 10.1002/2013JD021446. 2014.
. Statistics and climate. Annual Review of Statistics and Its Application (ISSN 2326-8298). 1 pp 87-101. doi: 10.1146/annurev-statistics-022513-115648. 2014.
. Assessing the uncertainty in projecting local mean sea level from global temperature. Journal of Applied Meteorology and Climatology (ISSN 1558-8424). 53(9) pp 2163-2170. doi: 10.1175/JAMC-D-13-0308.1. 2014.
. Accounting for spatially varying directional effects in spatial covariance structures. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 63(1) pp 103-122. doi: 10.1111/rssc.12027. 2014.
2013
. Uncertainty in Ranking the Hottest Years of U.S. Surface Temperatures. Journal of Climate (ISSN 0894-8755). 26(17) pp 6323-6328. doi: 10.1175/JCLI-D-12-00760.1. 2013.
. Estimating daily mean temperature from synoptic climate observations. International Journal of Climatology (ISSN 0899-8418). 33(5) pp 1264-1269. doi: 10.1002/joc.3510. 2013.
2012
. Climate Statistics and Public Policy. Statistics, Politics and Policy (ISSN 2151-7509). 3(1) doi: 10.1515/2151-7509.1055. 2012.
. Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content. Environmetrics (ISSN 1180-4009). 23(3) pp 253-271. doi: 10.1002/env.2140. 2012.
. Regional climate model assessment using statistical upscaling and downscaling techniques. Environmetrics (ISSN 1180-4009). 23(5) pp 482-492. doi: 10.1002/env.2145. 2012.
2011
. Compositional analysis of overdispersed counts using generalized estimating equations. Environmental and Ecological Statistics (ISSN 1352-8505). 18(3) pp 427-446. doi: 10.1007/s10651-010-0145-9. 2011.
. Climate change, trends in extremes, and model assessment for a long temperature time series from Sweden. Environmetrics (ISSN 1180-4009). 22(3) pp 456-463. doi: 10.1002/env.1099. 2011.
. The role of statisticians in international science policy. Environmetrics (ISSN 1180-4009). 22(7) pp 817-825. doi: 10.1002/env.1109. 2011.
. Space-time modelling of trends in temperature series. Journal of Time Series Analysis (ISSN 0143-9782). 32(4) pp 378-395. doi: 10.1111/j.1467-9892.2011.00733.x. 2011.
. Evaluation of a dynamic downscaling of precipitation over the Norwegian mainland. Tellus A: Dynamic Meteorology and Oceanography (ISSN 0280-6495). 63(4) pp 746-756. doi: 10.1111/j.1600-0870.2011.00525.x. 2011.
. The replication rate of human hematopoietic stem cells in vivo. Blood (ISSN 0006-4971). 117(17) pp 4460-4466. doi: 10.1182/blood-2010-08-303537. 2011.
. Considering covariates in the covariance structure of spatial processes. Environmetrics (ISSN 1180-4009). 22(4) pp 487-500. doi: 10.1002/env.1101. 2011.
2010
. Statisticians Comment on Status of Climate Change Science. Ukjent http://magazine.amstat.org/2010/03/climatemar10/ 2010.
Academic literature review
2017
. New vigour involving statisticians to overcome ensemble fatigue. Nature Climate Change (ISSN 1758-678X). 7(10) pp 697-703. doi: 10.1038/nclimate3393. 2017.
2012
. What Happened to Discrete Chaos, the Quenouille Process, and the Sharp Markov Property? Some History of Stochastic Point Processes. International Statistical Review (ISSN 0306-7734). 80(2) pp 253-268. doi: 10.1111/j.1751-5823.2012.00181.x. 2012.
Short communication
2011
. Discussion on Lindgren, Lindström and Rue,"An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach". Journal of The Royal Statistical Society Series B-statistical Methodology (ISSN 1369-7412). 73(4) pp 472-473. doi: 10.1111/j.1467-9868.2011.00777.x. 2011.
Book review
2019
. Local Climate Projections: A Little Money Goes a Long Way. 2019.
2011
. Book review: Hidden Markov Models for Time Series: An Introduction Using R by ZUCCHINI, W. and MACDONALD, I. L. 2011.
Academic chapter/article/Conference paper
2012
. Bayesian Inference for Non-Markovian Point Processes. In: Advances and Challenges in Space-time Modelling of Natural Events. (ISBN 978-3-642-17085-0). pp 79-102. doi: 10.1007/978-3-642-17086-7_4. 2012. Fulltekst
Academic lecture
2022
. Validation of point process predictions with proper scoring rules. Natural Resources Institute Finland Statistics Seminar, 3/7/2022.
2019
. Beyond calculation: Teaching statistical thinking. IASE Satellite Conference; Kuala Lumpur, 8/13/2019 - 8/16/2019.
. Nonstationary modeling of storm surges. World Statistics Conference 2019; Kuala Lumpur, 8/18/2019 - 8/23/2019.
2018
. Post-processing climate model output to obtain accurate high-resolution climate projections & why uncertainty matters even if the answer is just a number. Swiss Statistics Seminar, 11/9/2018.
. Statistics in climate research: The importance of stochastic modelling and uncertainty quantification. UiO Statistics Seminar, 11/20/2018.
. Using nerve fibre data as a statistical laboratory. 9th Smögen Workshop, 8/13/2018 - 8/16/2018.
2017
. Statistics and climate. BIRS workshop on Challenges in the Statistical Modeling of Stochastic Processes for the Natural Sciences; Banff International Research Center, Banff, 7/9/2017 - 2/9/2018.
. Are you sure we want to do this? Royal Statistical Society International Conference; Glasgow, United Kingdom, 9/9/2017 - 9/13/2017.
. History, Science and Stochastic Processes. 31st Brazilian Mathematics Colloquium; Rio de Janeiro, 7/30/2017 - 8/5/2017.
. I don't know, are you sure you want to do this? Challenges in the Statistical Modeling of Stochastic Processes for the Natural Sciences; Banff, 7/10/2017 - 7/14/2017.
. Bayesian modelling of cluster point process models. Spatial Statistics 2017; Lancaster, 7/4/2017 - 7/7/2017.
. The role of uncertainty in evidence based climate change adaptation. ECCA 2017; Glasgow, 6/5/2017 - 6/9/2017.
2016
. Modelling and predicting residential water damage insurance claims via a calibrated dynamical downscaling. Big Data Tsunami at the Interface of Statistics, Environmental Sciences and Beyond (16w2669); Banff International Research Station, 3/11/2016 - 3/13/2016.
2015
. Modelling and predicting residential water damage insurance claims in a climate change perspective. ISI 2015 60th World Statistics Congress; Rio de Janeiro, 7/26/2015 - 7/31/2015.
2014
. Vulnerability models for water damage insurance claims - predictions of future losses in a climate change perspective. (sfi)2 conclusive workshop; Oslo, 11/3/2014 - 11/4/2014.
2012
. Evaluating and Calibrating Dynamically Downscaled Precipitation Using the Doksum Shift Function. The 2012 Joint Statistical Meetings; San Diego, California, 7/28/2012 - 8/2/2012.
2011
. Evaluation of a dynamic downscaling of Norwegian precipitation. Workshop on Statistical approaches to down- and upscaling in climate models; Lund, 4/27/2011 - 4/29/2011.
. Calibrating dynamically downscaled precipitation using the Doksum shift function. Workshop on Statistical approaches to down- and upscaling in climate models; Lund, 4/27/2011 - 4/29/2011.
. Calibrating dynamically down-scaled precipitation using the Doksum shift function. Workshop on Statistical approaches to down- and upscaling in climate models. 27 – 29 April, 2011, in, 4/29/2011.
2010
. Bayesian estimation of the climate sensitivity based on a simple climate model fitted to global temperature observations. International Workshop on Modern Statistics for Climate Research; Oslo, 2/1/2010 - 2/2/2010.
Lecture
2022
. Extracting robust information from data. Consolidating downscaling for the provision of regional climate information; Oslo og digitalt, 10/12/2022.
Poster
2012
. Evaluation and calibration of dynamically downscaled precipitation over Norwegian mainland. Ten Lectures on Statistical Climatology; University of Washington, Seattle, 8/6/2012 - 8/10/2012.
. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland. Ninth International Geostatistics Congress; Oslo, 6/11/2012 - 6/15/2012.
Report
2021
. A combined estimate of global temperature. Norsk Regnesentral. NR-notat SAMBA/14/21. pp 20. 2021. Arkiv
2020
. Validation of point process predictions with proper scoring rules. Norsk Regnesentral. NR-notat SAMBA/17/20. pp 26. 2020. Fulltekst
2019
. Validation of point process forecasts. Norsk Regnesentral. NR-notat SAMBA/20/19. pp 28. 2019. Fulltekst
2018
. Does Bayes beat squinting? Estimating unobserved aspects of a spatial cluster process. Norsk Regnesentral. NR-notat SAMBA/05/18. pp 18. 2018. Fulltekst
2017
. Modeling and assessing climatic trends. Norsk Regnesentral. NR-notat SAMBA/06/2017. pp 27. 2017. Fulltekst
2012
. What happened to discrete chaos, the Quenouille process, and the sharp Markov property? Some history of stochastic point processes. Norwegian Computing Center. NR-notat SAMBA/16/12. pp 23. 2012. Fulltekst
2010
. Bayesian Inference for Non-Markovian Point Processes. Norsk Regnesentral. NR-notat SAMBA/54/10. pp 28. 2010. Fulltekst
. Supplemental material to: Evaluation of a dynamic downscaling of Norwegian precipitation. Norsk Regnesentral. NR-notat SAMBA/50/10. pp 26. 2010.
Popular scientific lecture
2012
. Lectures on Extreme Value Statistics: Theory and Practice. A Research Topic Seminar: From numbers to decisions - statistics and extreme weather; MILEN research School, Forskningsparken, Oslo, 9/13/2012 - 9/14/2012.
2009
. Some extreme value problems in climate research. , .
Article in business/trade/industry journal
2018
. How to save Bergen from the sea? Decisions under uncertainty. Significance (ISSN 1740-9705). 15(2) pp 14-18. doi: 10.1111/j.1740-9713.2018.01125.x. 2018.
Popular scientific article
2017
. How we know that the Earth is warming. CHANCE : New Directions for Statistics and Computing (ISSN 0933-2480). 30(4) pp 6-11. 2017. Fulltekst
Editorial
2014
. Environmetrics silver anniversary special issue. Environmetrics (ISSN 1180-4009). 25(8) pp 559. doi: 10.1002/env.2325. 2014.
2013
. Uncertainty analysis in climate change assessments. Nature Climate Change (ISSN 1758-678X). 3(9) pp 769-771. 2013. Fulltekst
. In memory of George Casella. Environmetrics (ISSN 1180-4009). 24(5) pp 279-280. doi: 10.1002/env.2219. 2013.
2012
. Advances in Statistical Methods for Climate Analysis. Environmetrics (ISSN 1180-4009). 23(5) pp 363. doi: 10.1002/env.2156. 2012.
| Name: | Peter Guttorp |
| Title: | Professor II |
| Phone: | (+47) |
| Email: | peterg [at] nr [dot] no |
| Scientific areas: | Space-time models, Extremes, Stochastic modelling, Climate, Environment, Hematology |
| Add to contacts (vCard) |
| Show publications |
Academic anthology/Conference proceedings
2012
(eds). Selected works of David Brillinger. Springer Science+Business Media B.V. (ISBN 9781461413431). pp 613. 2012. Omtale
Academic article
2022
. Effective uncertainty visualization for aftershock forecast maps. Natural Hazards and Earth System Sciences (ISSN 1561-8633). 22(4) pp 1499-1518. doi: 10.5194/nhess-22-1499-2022. 2022.
. Rejoinder to the discussion on “A combined estimate of global temperature”. Environmetrics (ISSN 1180-4009). 33(3) doi: 10.1002/env.2725. 2022.
2021
. A combined estimate of global temperature. Environmetrics (ISSN 1180-4009). doi: 10.1002/env.2706. 2021.
2020
. Flexible spatial covariance functions. Spatial Statistics (ISSN 2211-6753). 37 doi: 10.1016/j.spasta.2020.100416. 2020.
. Interacting cluster point process model for epidermal nerve fibers. Spatial Statistics (ISSN 2211-6753). 35 doi: 10.1016/j.spasta.2020.100414. 2020.
2019
. Beyond Calculations: A Course in Statistical Thinking. American Statistician (ISSN 0003-1305). 73(1) pp 392-401. doi: 10.1080/00031305.2018.1505657. 2019.
2018
. Estimating wildfire growth from noisy and incomplete incident data using a state space model. Environmental and Ecological Statistics (ISSN 1352-8505). pp 1-16. doi: 10.1007/s10651-018-0407-5. 2018. Fulltekst
. Why distinguish between statistics and mathematical statistics? The case of Swedish academia. International Statistical Review (ISSN 0306-7734). pp 1-17. doi: 10.1111/insr.12275. 2018. Fulltekst
2017
. Sea level adaptation decisions under uncertainty. Water Resources Research (ISSN 0043-1397). 53(10) pp 8147-8163. doi: 10.1002/2016WR020354. 2017. Fulltekst
2016
. Calibrating regionally downscaled precipitation over Norway through quantile-based approaches. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO) (ISSN 2364-3579). 2 pp 39-47. doi: 10.5194/ascmo-2-39-2016. 2016. Arkiv Fulltekst
. Discovering early diabetic neuropathy from epidermal nerve fiber patterns. Statistics in Medicine (ISSN 0277-6715). 35(24) pp 4427-4442. doi: 10.1002/sim.7009. 2016.
. What we look at in paintings: A comparison between experienced and inexperienced art viewers. Annals of Applied Statistics (ISSN 1932-6157). 10(2) pp 549-574. doi: 10.1214/16-AOAS921. 2016.
2015
. Predicting extinction or explosion in a Galton–Watson branching process with power series offspring distribution. Journal of Statistical Planning and Inference (ISSN 0378-3758). 167 pp 193-215. doi: 10.1016/j.jspi.2015.04.009. 2015.
. Likelihood-based inference for discretely observed birth–death-shift processes, with applications to evolution of mobile genetic elements. Biometrics (ISSN 0006-341X). 71(4) pp 1009-1021. doi: 10.1111/biom.12352. 2015.
. Statistical prediction of global sea level from global temperature. Statistica sinica (ISSN 1017-0405). 25 pp 351-367. doi: 10.5705/ss.2013.222w. 2015.
2014
. Warm streaks in the U.S. temperature record: What are the chances? Journal of Geophysical Research (JGR): Atmospheres (ISSN 2169-897X). 119(10) pp 5757-5766. doi: 10.1002/2013JD021446. 2014.
. Statistics and climate. Annual Review of Statistics and Its Application (ISSN 2326-8298). 1 pp 87-101. doi: 10.1146/annurev-statistics-022513-115648. 2014.
. Assessing the uncertainty in projecting local mean sea level from global temperature. Journal of Applied Meteorology and Climatology (ISSN 1558-8424). 53(9) pp 2163-2170. doi: 10.1175/JAMC-D-13-0308.1. 2014.
. Accounting for spatially varying directional effects in spatial covariance structures. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 63(1) pp 103-122. doi: 10.1111/rssc.12027. 2014.
2013
. Uncertainty in Ranking the Hottest Years of U.S. Surface Temperatures. Journal of Climate (ISSN 0894-8755). 26(17) pp 6323-6328. doi: 10.1175/JCLI-D-12-00760.1. 2013.
. Estimating daily mean temperature from synoptic climate observations. International Journal of Climatology (ISSN 0899-8418). 33(5) pp 1264-1269. doi: 10.1002/joc.3510. 2013.
2012
. Climate Statistics and Public Policy. Statistics, Politics and Policy (ISSN 2151-7509). 3(1) doi: 10.1515/2151-7509.1055. 2012.
. Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content. Environmetrics (ISSN 1180-4009). 23(3) pp 253-271. doi: 10.1002/env.2140. 2012.
. Regional climate model assessment using statistical upscaling and downscaling techniques. Environmetrics (ISSN 1180-4009). 23(5) pp 482-492. doi: 10.1002/env.2145. 2012.
2011
. Compositional analysis of overdispersed counts using generalized estimating equations. Environmental and Ecological Statistics (ISSN 1352-8505). 18(3) pp 427-446. doi: 10.1007/s10651-010-0145-9. 2011.
. Climate change, trends in extremes, and model assessment for a long temperature time series from Sweden. Environmetrics (ISSN 1180-4009). 22(3) pp 456-463. doi: 10.1002/env.1099. 2011.
. The role of statisticians in international science policy. Environmetrics (ISSN 1180-4009). 22(7) pp 817-825. doi: 10.1002/env.1109. 2011.
. Space-time modelling of trends in temperature series. Journal of Time Series Analysis (ISSN 0143-9782). 32(4) pp 378-395. doi: 10.1111/j.1467-9892.2011.00733.x. 2011.
. Evaluation of a dynamic downscaling of precipitation over the Norwegian mainland. Tellus A: Dynamic Meteorology and Oceanography (ISSN 0280-6495). 63(4) pp 746-756. doi: 10.1111/j.1600-0870.2011.00525.x. 2011.
. The replication rate of human hematopoietic stem cells in vivo. Blood (ISSN 0006-4971). 117(17) pp 4460-4466. doi: 10.1182/blood-2010-08-303537. 2011.
. Considering covariates in the covariance structure of spatial processes. Environmetrics (ISSN 1180-4009). 22(4) pp 487-500. doi: 10.1002/env.1101. 2011.
2010
. Statisticians Comment on Status of Climate Change Science. Ukjent http://magazine.amstat.org/2010/03/climatemar10/ 2010.
Academic literature review
2017
. New vigour involving statisticians to overcome ensemble fatigue. Nature Climate Change (ISSN 1758-678X). 7(10) pp 697-703. doi: 10.1038/nclimate3393. 2017.
2012
. What Happened to Discrete Chaos, the Quenouille Process, and the Sharp Markov Property? Some History of Stochastic Point Processes. International Statistical Review (ISSN 0306-7734). 80(2) pp 253-268. doi: 10.1111/j.1751-5823.2012.00181.x. 2012.
Short communication
2011
. Discussion on Lindgren, Lindström and Rue,"An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach". Journal of The Royal Statistical Society Series B-statistical Methodology (ISSN 1369-7412). 73(4) pp 472-473. doi: 10.1111/j.1467-9868.2011.00777.x. 2011.
Book review
2019
. Local Climate Projections: A Little Money Goes a Long Way. 2019.
2011
. Book review: Hidden Markov Models for Time Series: An Introduction Using R by ZUCCHINI, W. and MACDONALD, I. L. 2011.
Academic chapter/article/Conference paper
2012
. Bayesian Inference for Non-Markovian Point Processes. In: Advances and Challenges in Space-time Modelling of Natural Events. (ISBN 978-3-642-17085-0). pp 79-102. doi: 10.1007/978-3-642-17086-7_4. 2012. Fulltekst
Academic lecture
2022
. Validation of point process predictions with proper scoring rules. Natural Resources Institute Finland Statistics Seminar, 3/7/2022.
2019
. Beyond calculation: Teaching statistical thinking. IASE Satellite Conference; Kuala Lumpur, 8/13/2019 - 8/16/2019.
. Nonstationary modeling of storm surges. World Statistics Conference 2019; Kuala Lumpur, 8/18/2019 - 8/23/2019.
2018
. Post-processing climate model output to obtain accurate high-resolution climate projections & why uncertainty matters even if the answer is just a number. Swiss Statistics Seminar, 11/9/2018.
. Statistics in climate research: The importance of stochastic modelling and uncertainty quantification. UiO Statistics Seminar, 11/20/2018.
. Using nerve fibre data as a statistical laboratory. 9th Smögen Workshop, 8/13/2018 - 8/16/2018.
2017
. Statistics and climate. BIRS workshop on Challenges in the Statistical Modeling of Stochastic Processes for the Natural Sciences; Banff International Research Center, Banff, 7/9/2017 - 2/9/2018.
. Are you sure we want to do this? Royal Statistical Society International Conference; Glasgow, United Kingdom, 9/9/2017 - 9/13/2017.
. History, Science and Stochastic Processes. 31st Brazilian Mathematics Colloquium; Rio de Janeiro, 7/30/2017 - 8/5/2017.
. I don't know, are you sure you want to do this? Challenges in the Statistical Modeling of Stochastic Processes for the Natural Sciences; Banff, 7/10/2017 - 7/14/2017.
. Bayesian modelling of cluster point process models. Spatial Statistics 2017; Lancaster, 7/4/2017 - 7/7/2017.
. The role of uncertainty in evidence based climate change adaptation. ECCA 2017; Glasgow, 6/5/2017 - 6/9/2017.
2016
. Modelling and predicting residential water damage insurance claims via a calibrated dynamical downscaling. Big Data Tsunami at the Interface of Statistics, Environmental Sciences and Beyond (16w2669); Banff International Research Station, 3/11/2016 - 3/13/2016.
2015
. Modelling and predicting residential water damage insurance claims in a climate change perspective. ISI 2015 60th World Statistics Congress; Rio de Janeiro, 7/26/2015 - 7/31/2015.
2014
. Vulnerability models for water damage insurance claims - predictions of future losses in a climate change perspective. (sfi)2 conclusive workshop; Oslo, 11/3/2014 - 11/4/2014.
2012
. Evaluating and Calibrating Dynamically Downscaled Precipitation Using the Doksum Shift Function. The 2012 Joint Statistical Meetings; San Diego, California, 7/28/2012 - 8/2/2012.
2011
. Evaluation of a dynamic downscaling of Norwegian precipitation. Workshop on Statistical approaches to down- and upscaling in climate models; Lund, 4/27/2011 - 4/29/2011.
. Calibrating dynamically downscaled precipitation using the Doksum shift function. Workshop on Statistical approaches to down- and upscaling in climate models; Lund, 4/27/2011 - 4/29/2011.
. Calibrating dynamically down-scaled precipitation using the Doksum shift function. Workshop on Statistical approaches to down- and upscaling in climate models. 27 – 29 April, 2011, in, 4/29/2011.
2010
. Bayesian estimation of the climate sensitivity based on a simple climate model fitted to global temperature observations. International Workshop on Modern Statistics for Climate Research; Oslo, 2/1/2010 - 2/2/2010.
Lecture
2022
. Extracting robust information from data. Consolidating downscaling for the provision of regional climate information; Oslo og digitalt, 10/12/2022.
Poster
2012
. Evaluation and calibration of dynamically downscaled precipitation over Norwegian mainland. Ten Lectures on Statistical Climatology; University of Washington, Seattle, 8/6/2012 - 8/10/2012.
. Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland. Ninth International Geostatistics Congress; Oslo, 6/11/2012 - 6/15/2012.
Report
2021
. A combined estimate of global temperature. Norsk Regnesentral. NR-notat SAMBA/14/21. pp 20. 2021. Arkiv
2020
. Validation of point process predictions with proper scoring rules. Norsk Regnesentral. NR-notat SAMBA/17/20. pp 26. 2020. Fulltekst
2019
. Validation of point process forecasts. Norsk Regnesentral. NR-notat SAMBA/20/19. pp 28. 2019. Fulltekst
2018
. Does Bayes beat squinting? Estimating unobserved aspects of a spatial cluster process. Norsk Regnesentral. NR-notat SAMBA/05/18. pp 18. 2018. Fulltekst
2017
. Modeling and assessing climatic trends. Norsk Regnesentral. NR-notat SAMBA/06/2017. pp 27. 2017. Fulltekst
2012
. What happened to discrete chaos, the Quenouille process, and the sharp Markov property? Some history of stochastic point processes. Norwegian Computing Center. NR-notat SAMBA/16/12. pp 23. 2012. Fulltekst
2010
. Bayesian Inference for Non-Markovian Point Processes. Norsk Regnesentral. NR-notat SAMBA/54/10. pp 28. 2010. Fulltekst
. Supplemental material to: Evaluation of a dynamic downscaling of Norwegian precipitation. Norsk Regnesentral. NR-notat SAMBA/50/10. pp 26. 2010.
Popular scientific lecture
2012
. Lectures on Extreme Value Statistics: Theory and Practice. A Research Topic Seminar: From numbers to decisions - statistics and extreme weather; MILEN research School, Forskningsparken, Oslo, 9/13/2012 - 9/14/2012.
2009
. Some extreme value problems in climate research. , .
Article in business/trade/industry journal
2018
. How to save Bergen from the sea? Decisions under uncertainty. Significance (ISSN 1740-9705). 15(2) pp 14-18. doi: 10.1111/j.1740-9713.2018.01125.x. 2018.
Popular scientific article
2017
. How we know that the Earth is warming. CHANCE : New Directions for Statistics and Computing (ISSN 0933-2480). 30(4) pp 6-11. 2017. Fulltekst
Editorial
2014
. Environmetrics silver anniversary special issue. Environmetrics (ISSN 1180-4009). 25(8) pp 559. doi: 10.1002/env.2325. 2014.
2013
. Uncertainty analysis in climate change assessments. Nature Climate Change (ISSN 1758-678X). 3(9) pp 769-771. 2013. Fulltekst
. In memory of George Casella. Environmetrics (ISSN 1180-4009). 24(5) pp 279-280. doi: 10.1002/env.2219. 2013.
2012
. Advances in Statistical Methods for Climate Analysis. Environmetrics (ISSN 1180-4009). 23(5) pp 363. doi: 10.1002/env.2156. 2012.
How to get to NR
Share on social media
Privacy policy