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Statistical Analysis, Pattern Recognition and Image Analysis - SAMBA

The SAMBA department has comprehensive theoretical and practical knowledge in the fields of statistics, pattern recognition 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 parameter is an important speciality.

Research areas

Last 5 scientific articles

    Skeie, Ragnhild Bieltvedt; Berntsen, Terje Koren; Aldrin, Magne Tommy; Holden, Marit; Myhre, Gunnar. A lower and more constrained estimate of climate sensitivity using updated observations and detailed radiative forcing time series. Earth System Dynamics (ISSN 2190-4979). doi: 10.5194/esd-5-139-2014. 2014.

    Thorarinsdottir, Thordis Linda; Sillmann, Jana; Benestad, Rasmus. Studying Statistical Methodology in Climate Research. EOS : Transactions (ISSN 0096-3941). 95(15) pp 129. doi: 10.1002/2014EO150008. 2014. Abstract  Full-text 

    Günther, Clara-Cecilie; Tvete, Ingunn Fride; Aas, Kjersti; Sandnes, Geir Inge; Borgan, Ørnulf. Modelling and predicting customer churn from an insurance company. Scandinavian Actuarial Journal (ISSN 0346-1238). 2014(1) doi: 10.1080/03461238.2011.636502. 2014.

    Günther, Clara-Cecilie; Tvete, Ingunn Fride; Aas, Kjersti; Hagen, Jørgen Andreas; Kvifte, Lars; Borgan, Ørnulf. Predicting Future Claims Among High Risk Policyholders Using Random Effects. In: Modern Problems in Insurance Mathematics. (ISBN 978-3-319-06652-3). pp 171-186. doi: 10.1007/978-3-319-06653-0_11. 2014.

    Aas, Kjersti; Neef, Linda Reiersølmoen; Raabe, Dag; Vårli, Ingeborg D.. A simulation-based ALM model in practical use by a Norwegian Life Insurance company. In: Modern Problems in Insurance Mathematics. (ISBN 978-3-319-06652-3). pp 155-169. doi: 10.1007/978-3-319-06653-0_10. 2014.

Publications in 2014, 2013, 2012, 2011, 2010, 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