Publications

Heidar Eyjolfsson; Dag Bjarne Tjøstheim; Self-exciting jump processes with applications to energy markets Annals of the Institute of Statistical Mathematics, pp. 373 393 , doi: https://doi.org/10.1007/s10463-016-0591-8 , 2017. Scientific article

Håkon Otneim; Dag Bjarne Tjøstheim; Estimating multivariate and conditional density functions using local Gaussian approximations 2017. Scientific lecture

Chaohua Dong; Jiti Gao; Dag Bjarne Tjøstheim; Jiying Yin; Specification testing for nonlinear multivariate cointegrating regressions Journal of Econometrics, pp. 104 117 , doi: https://doi.org/10.1016/j.jeconom.2017.05.016 , 2017. Scientific article

Hao Zhao; Anders Ueland Waldeland; Dany Rueda Serrano; Martin Tygel; Einar Iversen; Time-migration tomography based on reflection slopes, a first test 2017. Scientific lecture

Olav Nikolai Breivik; Geir Olve Storvik; Kjell Harald Nedreaas; Latent Gaussian models to predict historical bycatch in commercial fishery Fisheries Research, pp. 62 72 , doi: https://doi.org/10.1016/j.fishres.2016.09.033 , 2017. Scientific article

Martin Tveten; Andreas Brandsæter; Ingrid Kristine Glad; Anomaly detection in maritime data streams 2017. Scientific lecture

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; A Bayesian spatial model for utilising precipitation gauge observations and runoff observations for annual runoff predictions 2017. Lecture

Jingyi Guo; Thea Roksvåg; Ingelin Steinsland; On combining point and area measurements for a non-stationary spatial model 2017. Poster

Jingyi Guo; Thea Roksvåg; Ingelin Steinsland; On combining point and area measurements for annual runoff predictions - A non-stationary model 2017. Scientific lecture

Thea Roksvåg; Kolbjørn Engeland; Ingelin Steinsland; A Bayesian spatial model for utilising precipitation gauge observations and runoff observations for annual runoff predictions 2017. Lecture

Joschua Thomas Simon-Liedtke; David R Flatla; Eskild Narum Bakken; Checklist for Daltonization methods: Requirements and characteristics of a good recolouring method IS&T International Symposium on Electronic Imaging Science and Technology, pp. 21 27 , doi: https://doi.org/10.2352/ISSN.2470-1173.2017.18.COLOR-029 , 2017. Scientific article

Joschua Thomas Simon-Liedtke; Ivar Farup; Reiner Eschbach; On the edge: A scalable daltonization method focusing chromatic edges and contrast IS&T International Symposium on Electronic Imaging Science and Technology, pp. 28 35 , doi: https://doi.org/10.2352/ISSN.2470-1173.2017.18.COLOR-030 , 2017. Scientific article

Marie Lilleborge; Sofie Sebuødegård; Solveig Hofvind; The risk of progression of atypia into invasive breast cancer among women attending the Norwegian Breast Cancer Screening Programme 2017. Scientific lecture

Marie Lilleborge; Korrelasjonsstruktur og informasjonsflyt - Øvre og nedre grenseverdier for effektivt å sikre effektiv innhenting av informasjon 2017. Scientific lecture

Alba Ordonez; Walter Söllner; Tilman Klüver; Imaging the total wavefields by reflectivity estimation using amplitudenormalized wavefield decomposition: Field data example Geophysics, pp. S85 S97 , doi: https://doi.org/10.1190/GEO2016-0095.1 , 2017. Scientific article

Dario Grana; Torstein Mæland Fjeldstad; Henning Omre; Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems Mathematical Geosciences, pp. 493 515 , doi: https://doi.org/10.1007/s11004-016-9671-9 , 2017. Scientific article

Torstein Mæland Fjeldstad; Per Åge Avseth; Probabilistic inversion with a facies dependent rock physics model 2017. Lecture

Torstein Mæland Fjeldstad; Per Åge Avseth; Joint Seismic and Petrophysical Inversion Constrained by Facies in a Bayesian Framework 2017. Lecture

Torstein Mæland Fjeldstad; Henning Omre; Bayesian inversion based on Gaussian mixture prior models with applications in reservoir characterisation 2017. Scientific lecture

Torstein Mæland Fjeldstad; Henning Omre; Hydrocarbon prediction from seismic AVO data – a case study from the Norwegian Sea 2017. Scientific lecture