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SAMBA

SAMBA

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

    Dyrrdal, Anita Verpe; Lenkoski, Alex; Thorarinsdottir, Thordis Linda; Stordal, Frode. Bayesian hierarchical modeling of extreme hourly precipitation in Norway. Environmetrics (ISSN 1180-4009). doi: 10.1002/env.2301. 2014.

    Willett, K. M.; Williams, C.; Jolliffe, I.T.; Lund, R.; Alexander, L.; Brönniman, S; Vincent, L.A.; Easterbrook, S; Venema, V.; Berry, D.; Warren, R; Lopardo, G; Auchmann, R; Aguilar, E.; Menne, M. J.; Gallagher, C; Hausfather, Z; Thorarinsdottir, Thordis Linda; Thorne, Peter. Concepts for benchmarking of homogenisation algorithm performance on the global scale. Geoscientific Instrumentation, Methods and Data Systems Discussions (ISSN 2193-0872). 4(1) pp 235-270. doi: 10.5194/gid-4-235-2014. 2014.

    Paulsen, Jonas; Rødland, Einar Andreas; Holden, Lars; Holden, Marit; Hovig, Johannes Eivind. A statistical model of ChIA-PET data for accurate detection of chromatin 3D interactions. Nucleic Acids Research (ISSN 0305-1048). 42(18) pp e143. doi: 10.1093/nar/gku738. 2014.

    Aas, Kjersti; Giovanni, Puccetti. Bounds on total economic capital: the DNB case study. Extremes (ISSN 1386-1999). doi: 10.1007/s10687-014-0202-0. 2014.

    Pour, Homa Kheyrollah; Duguay, Claude R.; Solberg, Rune; Rudjord, Øystein. Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: Evaluation of remotelysensed lake surface water temperature observations. Tellus. Series A, Dynamic meteorology and oceanography (ISSN 0280-6495). 66(1) doi: 10.3402/tellusa.v66.21534. 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
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+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