Publikasjoner

Anders Løland; Kristoffer Herland Hellton; Alt du kan lære om statistisk modellering og maskinlæring på en dag 2019. Faglig foredrag

Claudio Constantin Heinrich; Statistical post-processing of seasonal weather forecasts 2019. Vitenskapelig foredrag

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks , 2019. Faglig foredrag

Claudio Constantin Heinrich; STATISTICAL POSTPROCESSING OF SEASONAL WEATHER FORECASTS 2019. Poster

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Faglig foredrag

Peter Guttorp; Beyond calculation: Teaching statistical thinking 2019. Vitenskapelig foredrag

Peter Guttorp; Nonstationary modeling of storm surges 2019. Vitenskapelig foredrag

Peter Guttorp; Thordis Linda Thorarinsdottir; Local Climate Projections: A Little Money Goes a Long Way EOS, vol. 100, (ISSN 0096-3941 2324-9250 ), doi: https://doi.org/10.1029/2019EO133113 , 2019. Anmeldelse

Øystein Rudjord; Øivind Due Trier; Rune Solberg; Nick Hughes; Sentinel4ThinIce Phase 2. Thin ice thickness retrieval with Sentinel-3 2019. Rapport

Magne Tommy Aldrin; Ragnar Bang Huseby; Strategier for bekjempelse av lakselus - en vurdering basert på scenariosimulering for Rogaland -Delrapport for prosjekt FHF:901414 "Enhetlig proaktiv lusestrategi Rogaland" 2019. Rapport

Kristoffer Skuland; Claudio Constantin Heinrich; Alex Lenkoski; Thordis Linda Thorarinsdottir; Stratospheric events and long-range Scandinavian winter surface temperature forecasts 2019. Rapport

Pål Dahle; Ingrid Aarnes; Petter Abrahamsen; Ariel Almendral Vazquez; Audun Sektnan; Increasing subsurface accuracy with COHIBA by taking advantage of resistivity contrasts 2019. Rapport

Claudio Constantin Heinrich; Forecast validation for earthquakes and other point processes 2019. Vitenskapelig foredrag

Nikolai Sellereite; P1 ettermiddag fra NRK Innlandet 18.10.2019 , 2019. Intervju

Aliaksandr Hubin; Geir Olve Storvik; Combining Model and Parameter Uncertainty in Bayesian Neural Networks 2019. Faglig foredrag

Aliaksandr Hubin; Geir Olve Storvik; Paul Eivind Grini; Melinka Alonso Butenko; Bayesian binomial regression model with a latent Gaussian field for analysis of epigenetic data 2019. Faglig foredrag

Aliaksandr Hubin; An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models 2019. Faglig foredrag

Claudio Constantin Heinrich; How to validate point process predictions or can tests for calibration be proper? 2019. Vitenskapelig foredrag

Habtamu Abie; The FINSEC (Integrated Framework for Predictive and Collaborative Security of Financial Infrastructures) Approach 2019. Faglig foredrag

Øystein Rudjord; Jarle Hamar Reksten; Rune Solberg; Øivind Due Trier; Kjetil Melvold; Utvikling av operasjonell innsjøistjeneste hos NVE: Resultater fra prosjektfase 2 2019. Rapport