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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

    Guttorp, Peter; Ylitalo, Anna-Kaisa; Särkkä, Aila. What we look at in paintings: A comparison between experienced and non-experienced art viewers. Annals of Applied Statistics (ISSN 1932-6157). 10(2) pp 549-574. doi: 10.1214/16-AOAS921. 2016.

    Low, Rand Kwong Yew; Faff, Robert; Aas, Kjersti. Enhancing mean-variance portfolio selection by modeling distributional asymmetries. Journal of Economics and Business (ISSN 0148-6195). 85 pp 49-72. doi: 10.1016/j.jeconbus.2016.01.003. 2016.

    Lund, Eiliv; Holden, Lars; Bøvelstad, Hege; Plancade, Sandra Caroline; Mode, Nicolle; Günther, Clara-Cecilie; Nuel, Gregory; Thalabard, Jean-Christophe; Holden, Marit. A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principle. BMC Medical Research Methodology (ISSN 1471-2288). 16(28) doi: 10.1186/s12874-016-0129-z. 2016.

    Myhrstad, Mari; Ottestad, Inger; Günther, Clara-Cecilie; Ryeng, Einar; Holden, Marit; Nilsson, Astrid; Brønner, Kirsti Wettre; Kohler, Achim; Borge, Grethe Iren Andersen; Holven, Kirsten Bjørklund; Ulven, Stine Marie. The PBMC transcriptome profile after intake of oxidized versus high-quality fish oil: an explorative study in healthy subjects. Genes & Nutrition (ISSN 1555-8932). 11(16) doi: 10.1186/s12263-016-0530-6. 2016.

    Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Haug, Ola; Orskaug, Elisabeth; Scheel, Ida; Wallin, Jonas. Calibrating regionally downscaled precipitation over Norway through quantile-based approaches. Advances in Statistical Climatology, Meteorology and Oceanography (ISSN 2364-3579). 2 pp 39-47. doi: 10.5194/ascmo-2-39-2016. 2016.

Publications in 2016, 2015, 2014, 2013, 2012, 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