Publications

Federico Figari Tomenotti; Luigi Tommaso Luppino; Mads Adrian Hansen; Gabriele Moser; Stian Normann Anfinsen; Heterogeneous Change Detection with Self-supervised Deep Canonically Correlated Autoencoders , 2020. Scientific lecture

Gabriele Moser; Stian Normann Anfinsen; Luigi Tommaso Luppino; Sebastian Bruno Serpico; Change Detection with Heterogeneous Remote Sensing Data: From Semi-Parametric Regression to Deep Learning , 2020. Scientific lecture

Tomas Lunde Jensen; John Fredrik Moxnes; Erik Unneberg; Dennis Christensen; Models for predicting impact sensitivity of energetic materials based on the trigger linkage hypothesis and Arrhenius kinetics Journal of Molecular Modeling, pp. 14 , doi: https://doi.org/10.1007/s00894-019-4269-z , 2020. Scientific article

Sten Karlsson; Geir Hysing Bolstad; Haakon Hansen; Peder A Jansen; Thomas Moen; et al. The potential for evolution of resistance to Gyrodactylus salaris in Norwegian Atlantic salmon , 2020. Report

Wolfgang Leister; Turleder-tips: Matsvinn på fellesturen Turleder'n, pp. 14 15 , , 2020. Article journal

Christian Page; Vera Djordjilovic; Therese Haugdahl Nøst; Reza Ghiasvand; Torkjel M Sandanger; et al. Lifetime ultraviolet radiation exposure and DNA methylation in blood leukocytes: The Norwegian Women and Cancer Study Scientific Reports, pp. 1 8 , doi: https://doi.org/10.1038/s41598-020-61430-3 , 2020. Scientific article

Arne Valebjørg Pladsen; Gro Nilsen; Oscar M. Rueda; Miriam Ragle Aure; Ørnulf Borgan; et al. DNA copy number motifs are strong and independent predictors of survival in breast cancer Communications Biology, pp. 9 , doi: https://doi.org/10.1038/s42003-020-0884-6 , 2020. Scientific article

Helga Bergholtz; Tonje Gulbrandsen Lien; David Swanson; Arnoldo Frigessi Di Rattalma; Maria Grazia Daidone; et al. Contrasting DCIS and invasive breast cancer by subtype suggests basal-like DCIS as distinct lesions NPJ breast cancer, pp. 9 , doi: https://doi.org/10.1038/s41523-020-0167-x , 2020. Scientific article

Trenton Wade Schulz; Exploration of Moving Things in the Home , 2020. Doctor dissertat

Francesco Bravo; Degui Li; Dag Bjarne Tjøstheim; Robust nonlinear regression estimation in null recurrent time series Journal of Econometrics, pp. 0 , doi: https://doi.org/10.1016/j.jeconom.2020.03.028 , 2020. Scientific article

Konstantinos Fokianos; Bård Støve; Dag Bjarne Tjøstheim; Paul Doukhan; Multivariate count autoregression Bernoulli, pp. 471 499 , doi: https://doi.org/10.3150/19-BEJ1132 , 2020. Scientific article

Lars Arne Jordanger; Dag Bjarne Tjøstheim; Nonlinear Spectral Analysis: A Local Gaussian Approach Journal of the American Statistical Association, pp. 0 , doi: https://doi.org/10.1080/01621459.2020.1840991 , 2020. Scientific article

Zhenyu Jiang; Nengxiang Ling; Zudi Lu; Dag Bjarne Tjøstheim; Qiang Zhang; On bandwidth choice for spatial data density estimation Journal of The Royal Statistical Society Series B-statistical Methodology, pp. 817 840 23 , doi: https://doi.org/10.1111/rssb.12367 , 2020. Scientific article

Dag Bjarne Tjøstheim; Some notes on nonlinear cointegration: A partial review with some novel perspectives Econometric Reviews, pp. 655 673 18 , doi: https://doi.org/10.1080/07474938.2020.1771900 , 2020. Scientific article

Jill Burstein; Ekaterina Kochmar; Nitin Madnani; Claudia Leacock; Ildikó Pilán; et al. Introduction Association for Computational Linguistics (ACL). Annual Meeting Conference Proceedings, pp. III V 0 , 2020. Editorial

Hao Zhao; Anders U. Waldeland; Dany Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration velocity estimation using Fréchet derivatives based on nonlinear kinematic migration/demigration solvers Studia Geophysica et Geodaetica, pp. 26 75 , doi: https://doi.org/10.1007/s11200-019-1172-0 , 2020. Scientific article

Kristin Skeide Fuglerud; Bent Håkon Lauritzen; Hilde Eide; Innovativ rehabilitering i Indre Østfold. Nasjonalt forsøk med kommunal rehabilitering. Følgeevaluering, delrapport 4 , 2020. Report

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Estimation of annual runoff by exploiting long-term spatial patterns and short records within a geostatistical framework Hydrology and Earth System Sciences (HESS), pp. 4109 4133 , doi: https://doi.org/10.5194/hess-24-4109-2020 , 2020. Scientific article

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Using Bayesian geostatistical models to correct gridded hydrological products relative to the actually observed streamflow 2020. Poster

Thea Roksvåg; Bayesian geostatistical two field models for combining data sources and exploiting short records: Applied to annual runoff interpolation in Norway 2020. Doctor dissertat