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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

    Breivik, Olav Nikolai; Aanes, Fredrik L; Søvik, Guldborg; Aglen, Asgeir; Mehl, Sigbjørn; Johnsen, Espen. Predicting abundance indices in areas without coverage with a latent spatio-temporal Gaussian model. ICES Journal of Marine Science (ISSN 1054-3139). doi: https://doi.org/10.1093/icesjms/fsab073. 2021.

    Choi, Changkyu; Kampffmeyer, Michael; Handegard, Nils Olav; Salberg, Arnt Børre; Brautaset, Olav; Eikvil, Line; Jenssen, Robert. Semi-supervised target classification in multi-frequency echosounder data. ICES Journal of Marine Science (ISSN 1054-3139). 2021.

    Deilkås, Ellen C Tveter; Haugen, Marion; Risberg, Madeleine Borgstedt; Narbuvold, Hanne; Flesland, Øystein; Nylen, Urban; Rutberg, Hans. Longitudinal rates of hospital adverse events that contributed to death in Norway and Sweden from 2013 to 2018. Journal of Patient Safety and Risk Management (ISSN 2516-0443). 26(4) pp 153-160. doi: 10.1177/25160435211026125. 2021.

    Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr. skweak: Weak Supervision Made Easy for NLP. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations. (ISBN 978-1-954085-56-5). pp 337-346. 2021. Institutional archive 

    Wahl, Jens Christian; Aanes, Fredrik L; Aas, Kjersti; Froyn, Sindre; Piacek, Daniel. Spatial modelling of risk premiums for water damage insurance. Scandinavian Actuarial Journal (ISSN 0346-1238). doi: 10.1080/03461238.2021.1951346. 2021.

Publications in 2022, 2021, 2020, 2019, 2018, 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