• Bokmål
  • English

Sitemap

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.

SAMBA was responsible for the Center for Research Based Innovation, Statistics for innovation, SFI2 in the period 2007-2014.

Research areas


Last 5 scientific articles

    Trier, Øivind Due; Pilø, Lars Holger. Archaeological mapping of large forested areas, using semi-automatic detection and visual interpretation of high-resolution lidar data. In: CAA2014. 21st Century Archaeology. Concepts, methods and tools. Proceedings of the 42nd Annual Conference on Computer Applications and Quantitative Methods in Archaeology. (ISBN 9781784911003). pp 81-86. 2015.

    Hobæk Haff, Ingrid; Frigessi, Arnoldo; Maraun, Douglas. How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions. Journal of Geophysical Research - Atmospheres (ISSN 2169-897X). doi: 10.1002/2014JD022748. 2015.

    Hobæk Haff, Ingrid; Segers, Johan. Nonparametric estimation of pair-copula constructions with the empirical pair-copula. Computational Statistics & Data Analysis (ISSN 0167-9473). 84 pp 1-13. doi: 10.1016/j.csda.2014.10.020. 2015.

    Metsämäki, Sari; Pulliainen, Jouni; Salminen, Miia; Luojus, Kari; Wiesmann, Andreas; Solberg, Rune; Böttcher, Kristin; Hiltunen, Mwaba; Ripper, Elisabeth. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment (ISSN 0034-4257). 156 pp 96-108. doi: 10.1016/j.rse.2014.09.018. 2015.

    Trier, Øivind Due; Zortea, Maciel; Tonning, Christer. Automatic detection of mound structures in airborne laser scanning data. Journal of Archaeological Science: Reports (ISSN 2352-409X). 2 pp 69-79. doi: 10.1016/j.jasrep.2015.01.005. 2015. Full-text 

Publications in 2015, 2014, 2013, 2012, 2011, 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
Social media Share on social media
Privacy policy Privacy policy
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