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
Engebretsen, Solveig; Aldrin, Magne Tommy; Staven, Fredrik Ribsskog; Bendiksen, Eskil; Stige, Leif Christian; Jansen, Peder Andreas. Heterogeneous Weight Development of Lumpfish (Cyclopterus lumpus) Used as Cleaner Fish in Atlantic Salmon (Salmo salar) Farming. Fishes (ISSN 2410-3888). doi: 10.3390/fishes9090336. 2024.
Breivik, Olav Nikolai Risdal; Zimmermann, Fabian; Johannesen, Edda; Ono, Kotaro; Fall, Johanna Jennifer Elisabeth; Howell, Daniel; Nielsen, Anders. Incorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data. ICES Journal of Marine Science (ISSN 1054-3139). doi: 10.1093/icesjms/fsae079. 2024.
Engebretsen, Solveig; Aldrin, Magne Tommy; Lunde, Liss; Austad, Marthe; Rafoss, Trond; Danielsen, Ole Roald; Lindhom, Andreas; Boissonnot, Lauris Jeannine Ernestine; Jansen, Peder Andreas. Condition factor tailored to lumpfish (Cyclopterus lumpus) used as cleaner fish in salmonid farms. Aquaculture Reports (ISSN 2352-5134). 35 doi: 10.1016/j.aqrep.2024.101996. 2024.
Stige, Leif Christian; Jansen, Peder A; Helgesen, Kari Marie Olli. Effects of regional coordination of salmon louse control in reducing negative impacts of salmonid aquaculture on wild salmonids. International Journal for Parasitology (ISSN 0020-7519). doi: 10.1016/j.ijpara.2024.04.003. 2024.
Hubin, Aliaksandr; Storvik, Geir Olve. Sparse Bayesian Neural Networks: Bridging Model and Parameter Uncertainty through Scalable Variational Inference. Mathematics (ISSN 2227-7390). 12(6) doi: 10.3390/math12060788. 2024.