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SAMBA

SAMBA

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

    Brødholt, Elin Therese; Günther, Clara-Cecilie; Gautvik, Kaare M; Sjøvold, Torstein; Holck, Per. Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway. Journal of Archaeological Science: Reports (ISSN 2352-409X). 36 2021.

    Günther, Clara-Cecilie; Gautvik, Kaare M; Holck, Per; Sjøvold, Torstein. Bone mineral density through history: Dual-energy X-ray absorptiometry in archaeological populations of Norway. Journal of Archaeological Science: Reports (ISSN 2352-409X). doi: 10.1016/j.jasrep.2021.102792. 2021.

    Aldrin, Magne Tommy; Huseby, Ragnar Bang; Jensen, Britt Bang; Jansen, Mona Dverdal. Evaluating effects of different control strategies for Infectious Salmon Anaemia (ISA) in marine salmonid farming by scenario simulation using a disease transmission model. Preventive Veterinary Medicine (ISSN 0167-5877). 2021.

    Jensen, Britt Bang; Dean, Katharine Rose; Huseby, Ragnar Bang; Aldrin, Magne Tommy; Qviller, Lars. Realtime simulations of transmission of Pancreas Disease (PD) in Norwegian salmonid farming for disease control purposes. Epidemics (ISSN 1755-4365). 2021.

    Dean, Katharine Rose; Aldrin, Magne Tommy; Qviller, Lars; Helgesen, Kari Marie Olli; Jansen, Peder Andreas; Jensen, Britt Bang. Simulated effects of increasing salmonid production on sea lice populations in Norway. Epidemics (ISSN 1755-4365). 2021.

Publications in 2021, 2020, 2019, 2018, 2017, earlier years
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
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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