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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 Risdal; Zimmermann, Fabian; Johannesen, Edda; Ono, Kotaro; Fall, Johanna Jennifer Elisabeth; Howell, Daniel; Nielsen, Anders. Incorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data. ICES Journal of Marine Science (ISSN 1054-3139). doi: 10.1093/icesjms/fsae079. 2024.

    Engebretsen, Solveig; Aldrin, Magne Tommy; Lunde, Liss; Austad, Marthe; Rafoss, Trond; Danielsen, Ole Roald; Lindhom, Andreas; Boissonnot, Lauris Jeannine Ernestine; Jansen, Peder Andreas. Condition factor tailored to lumpfish (Cyclopterus lumpus) used as cleaner fish in salmonid farms. Aquaculture (ISSN 0044-8486). doi: 10.1016/j.aqrep.2024.101996. 2024.

    Stige, Leif Christian; Jansen, Peder A; Helgesen, Kari Marie Olli. Effects of regional coordination of salmon louse control in reducing negative impacts of salmonid aquaculture on wild salmonids. International Journal for Parasitology (ISSN 0020-7519). doi: 10.1016/j.ijpara.2024.04.003. 2024.

    Hubin, Aliaksandr; Storvik, Geir Olve. Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference. Mathematics (ISSN 2227-7390). 12(6) doi: 10.3390/math12060788. 2024.

    Lutz, Julia; Roksvåg, Thea Julie Thømt; Dyrrdal, Anita Verpe; Lussana, Cristian; Thorarinsdottir, Thordis Linda. Areal reduction factors from gridded data products. Journal of Hydrology (ISSN 0022-1694). 635 pp 1-12. doi: 10.1016/j.jhydrol.2024.131177. 2024.

Publications in 2024, 2023, 2022, 2021, 2020, 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