Publications

Valeria Vitelli; Øystein Sørensen; Marta Crispino; Arnoldo Frigessi Di Rattalma; Elja Arjas; Probabilistic preference learning with the Mallows rank model Journal of machine learning research, pp. 1 49 , , 2018. Scientific article

Marissa LeBlanc; Verena Zuber; Wesley Kurt Thompson; Ole Andreas Andreassen; Arnoldo Frigessi Di Rattalma; et al. A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework BMC Genomics, pp. 1 15 , doi: https://doi.org/10.1186/s12864-018-4859-7 , 2018. Scientific article

Markos Abiso Erango; Arnoldo Frigessi Di Rattalma; Leiv Arne Rosseland; A three minutes supine position test reveals higher risk of spinal anesthesia induced hypotension during cesarean delivery. An observational study. [version 1; peer review: 3 approved] F1000 Research, pp. 1 20 19 , doi: https://doi.org/10.12688/F1000RESEARCH.15142.1 , 2018. Scientific article

Øystein Sørensen; Kristoffer Herland Hellton; Arnoldo Frigessi Di Rattalma; Magne Thoresen; Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error Journal of Computational And Graphical Statistics (JCGS), pp. 739 749 , doi: https://doi.org/10.1080/10618600.2018.1425626 , 2018. Scientific article

Christian Rohrbeck; Deborah A Costain; Arnoldo Frigessi Di Rattalma; Bayesian spatial monotonic multiple regression Biometrika, pp. 691 707 , doi: https://doi.org/10.1093/biomet/asy019 , 2018. Scientific article

Kristian Helgebostad; Martin Landrø; Vetle Vinje; Carl-Inge Colombo Nilsen; Estimating source signatures from source-over-spread marine seismic data Geophysics, pp. 10 , doi: https://doi.org/10.1190/geo2017-0789.1 , 2018. Scientific article

Martin Jullum; Nils Lid Hjort; What price semiparametric Cox regression? Lifetime Data Analysis, pp. 406 438 , doi: https://doi.org/10.1007/s10985-018-9450-7 , 2018. Scientific article

Youngmi Lee; Sangyeol Lee; Dag Bjarne Tjøstheim; Asymptotic normality and parameter change test for bivariate Poisson INGARCH models Test (Madrid), pp. 52 69 , doi: https://doi.org/10.1007/s11749-016-0510-6 , 2018. Scientific article

Håkon Otneim; Dag Bjarne Tjøstheim; Characterizing Conditional Dependence and Testing for Conditional Independence using the Local Gaussian Partial Correlation 2018. Scientific lecture

Virginia Lacal; Dag Bjarne Tjøstheim; Estimating and Testing Nonlinear Local Dependence Between Two Time Series Journal of business & economic statistics, pp. 1 13 , doi: https://doi.org/10.1080/07350015.2017.1407777 , 2018. Scientific article

Hao Zhao; Anders U. Waldeland; D. Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration Tomography based on Reflection Slopes in Pre-stack Time-migrated Seismic Data EAGE extended abstracts, doi: https://doi.org/10.3997/2214-4609.201801383 , 2018. Abstract

Sigurd Eskeland; Coded information disproves Darwinism 2018. Lecture

Martin Tveten; Tailoring PCA for detecting sparse changes in multi-stream data 2018. Scientific lecture

Martin Tveten; Tailoring PCA for detecting sparse changes in multi-stream data 2018. Poster

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Prediction of annual runoff by using a Bayesian geostatistical model for combining precipitation gauge observations and runoff observations 2018. Poster

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Prediction of annual runoff by using a Bayesian geostatistical model for combining precipitation gauge observations and runoff observations 2018. Scientific lecture

Joschua Thomas Simon-Liedtke; Ivar Farup; Multiscale Daltonization in the gradient domain Color and Imaging Conference (CIC), pp. 7 18 , doi: https://doi.org/10.2352/J.Percept.Imaging.2018.1.1.010503 , 2018. Scientific article

Joschua Thomas Simon-Liedtke; Ivar Farup; Multiscale daltonization in the gradient domain Journal of Perceptual Imaging (JPI), pp. 010503-1 010503-12 , doi: https://doi.org/10.2352/J.Percept.Imaging.2018.1.1.010503 , 2018. Scientific article

Yujia Zhang; Michael C. Kampffmeyer; Xiaodan Liang; Min Tan; Eric P. Xing; Query-Conditioned Three-Player Adversarial Network for Video Summarization 2018. Poster

Michael C. Kampffmeyer; Advancing Segmentation and Unsupervised Learning Within the Field of Deep Learning 2018. Doctor dissertat