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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

    Chan, Yat Hin; Rø, Gunnar; Midtbø, Jørgen E.; Di Ruscio, Francesco; Watle, Sara Sofie Viksmoen; Juvet, Lene Kristine; Littmann, Jasper; Aavitsland, Preben; Nygård, Karin Maria; Berg, Are Stuwitz; Bukholm, Geir; Kristoffersen, Anja Bråthen; Engø-Monsen, Kenth; Engebretsen, Solveig; Swanson, David Michael; Diz-Lois Palomares, Alfonso; Lindstrøm, Jonas Christoffer; Frigessi, Arnoldo; De Blasio, Birgitte Freiesleben. Modeling geographic vaccination strategies for COVID-19 in Norway. PLoS Computational Biology (ISSN 1553-734X). 20(1) doi: 10.1371/journal.pcbi.1011426. 2024.

    Stige, Leif Christian; Huseby, Ragnar Bang; Helgesen, Kari Marie Olli; Aldrin, Magne Tommy; Qviller, Lars. Consequences of reduced effectiveness of salmon lice treatments for lice control. Preventive Veterinary Medicine (ISSN 0167-5877). 224 doi: 10.1016/j.prevetmed.2024.106134. 2024.

    Scheuerer, Michael; Bahaga, Titike Kassa; Segele, Z.T.; Thorarinsdottir, Thordis Linda. Probabilistic rainy season onset prediction over the greater horn of africa based on long-range multi-model ensemble forecasts. Climate Dynamics (ISSN 0930-7575). doi: 10.1007/s00382-023-07085-y. 2024.

    Heinrich-Mertsching, Claudio Constantin; Wahl, Jens Christian; Ordonez, Alba; Stien, Marita; Elvsborg, John; Haug, Ola; Thorarinsdottir, Thordis Linda. Assessing present and future risk of water damage using building attributes, meteorology, and topography. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 72(4) pp 809-828. doi: 10.1093/jrsssc/qlad043. 2023.

    Andrade Mancisidor, Rogelio; Kampffmeyer, Michael Christian; Aas, Kjersti; Jenssen, Robert. Discriminative multimodal learning via conditional priors in generative models. Neural Networks (ISSN 0893-6080). 169 pp 417-430. doi: 10.1016/j.neunet.2023.10.048. 2023.

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