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Statistical Analysis, Machine Learning and Image Analysis - SAMBA

The SAMBA department has comprehensive theoretical and practical knowledge in the fields of statistics, machine learning and image analysis. We are one of Europe's largest and most competent groups within applied statistics and statistical-matematical modelling. We cover a broad spectrum of methods and are a world leader in some of these areas. The appropriate choice of method for the various problems is thus one of our strengths. Many calculations involve uncertainty and the accurate calculation of this quantity is an important speciality.

Research areas

Last 5 scientific articles

    Aastveit, Marthe Elisabeth; Cunen, Celine Marie Løken; Hjort, Nils Lid. A new framework for semi-Markovian parametric multi-state models with interval censoring. Statistical Methods in Medical Research (ISSN 0962-2802). doi: 10.1177/09622802231160550. 2023.

    Barna, Danielle Marie; Engeland, Kolbjørn; Thorarinsdottir, Thordis Linda; Xu, Chong-Yu. Flexible and consistent Flood–Duration–Frequency modeling: A Bayesian approach. Journal of Hydrology (ISSN 0022-1694). 620 doi: 10.1016/j.jhydrol.2023.129448. 2023.

    Yuan, Qifen; Thorarinsdottir, Thordis; Beldring, Stein; Wong, Wai Kwok; Xu, Chong-Yu. Assessing uncertainty in hydrological projections arising from local-scale internal variability of climate. Journal of Hydrology (ISSN 0022-1694). doi: 10.1016/j.jhydrol.2023.129415. 2023.

    Howell, Daniel; Godiksen, Jane Aanestad; Tranang, Caroline Aas; Berg, Erik; Bernreuther, Matthias; Bogstad, Bjarte; Breivik, Olav Nikolai; Casas, Jose Miguel; Clain, Laura; Eidset, Elise; Eriksen, Elena; Fall, Johanna Jennifer Elisabeth; Fossheim, Maria; Gjøsæter, Harald; Gundersen, Sofie; Hallfredsson, Elvar Halldor; Höffle, Hannes; Johannessen, Edda; Nedreaas, Kjell Harald; Nielsen, Anders; Skaret, Georg; Staby, Arved; Stock, Brian; Subbey, Samuel; Tallman, Ross; Trochta, John Tyler; Vollen, Tone; Windsland, Kristin. Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting). ICES Scientific Reports (ISSN 2618-1371). 5(18) pp 1-507. doi: 10.17895/ices.pub.20012675. 2023.

    Tjøstheim, Dag Bjarne; Jullum, Martin; Løland, Anders. Some recent trends in embeddings of time series and dynamic networks. Journal of Time Series Analysis (ISSN 0143-9782). doi: 10.1111/jtsa.12677. 2023.

Publications in 2023, 2022, 2021, 2020, 2019, earlier years
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR