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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

    Kakad, Meetali; Utley, Martin; Dahl, Fredrik Andreas. Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway. Health Systems (ISSN 2047-6965). doi: 10.1080/20476965.2023.2174453. 2023.

    Bojarskaite, Laura; Vallet, Alexandra Honorine Emilie; Bjørnstad, Daniel Marelius; Binder, Kristin Maria Gullestad; Cunen, Celine; Heuser, Kjell; Kuchta, Miroslav; Mardal, Kent-Andre; Enger, Rune. Sleep cycle-dependent vascular dynamics in male mice and the predicted effects on perivascular cerebrospinal fluid flow and solute transport. Nature Communications (ISSN 2041-1723). 14(1) doi: 10.1038/s41467-023-36643-5. 2023.

    Kamineni, Meghana; Engø-Monsen, Kenth; Midtbø, Jørgen E.; Forland, Frode; De Blasio, Birgitte Freiesleben; Frigessi, Arnoldo; Engebretsen, Solveig. Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021. Eurosurveillance (ISSN 1025-496X). 28(17) doi: 10.2807/1560-7917.ES.2023.28.17.2200382. 2023.

    Tedesco, Paulina Souza; Lenkoski, Frank Alexander; Bloomfield, Hannah C.; Sillmann, Jana. Gaussian copula modeling of extreme cold and weak-wind events over Europe conditioned on winter weather regimes. Environmental Research Letters (ISSN 1748-9326). 18(3) doi: 10.1088/1748-9326/acb6aa. 2023.

    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.

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
Address How to get to NR
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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