Samuel Kociscak,
Andreas Kvammen,
Ingrid Mann,
Sigrunn Holbek Sørbye,
Audun Theodorsen,
Arnaud Zaslavsky
:
Modeling Solar Orbiter dust detection rates in the inner heliosphere as a Poisson process
Astronomy and Astrophysics (A & A) 2023
ARKIV /
DOI
Marina Espinasse,
Eirik Mikkelsen,
Sigrunn Holbek Sørbye,
Mette Skern-Mauritzen,
Jannike Falk-Andersson,
Per Fauchald
:
Seafood production in Northern Norway: Analyzing variation and co-development in aquaculture and coastal fisheries
Åse Mari Moe,
Elinor Ytterstad,
Laila Arnesdatter Hopstock,
Ola Løvsletten,
Monica Hauger Carlsen,
Sigrunn Holbek Sørbye
:
Associations and predictive power of dietary patterns on metabolic syndrome and its components
NMCD. Nutrition Metabolism and Cardiovascular Diseases 31. oktober 2023
ARKIV /
DOI
Åse Mari Moe,
Sigrunn Holbek Sørbye,
Laila Arnesdatter Hopstock,
Monica Hauger Carlsen,
Ola Løvsletten,
Elinor Ytterstad
:
Identifying dietary patterns across age, educational level and physical activity level in a cross-sectional study: the Tromsø Study 2015 - 2016
Pedro Guilherme Antunes Lopes Da Silva Nicolau,
Rolf Anker Ims,
Sigrunn Holbek Sørbye,
Nigel Yoccoz
:
Seasonality, density dependence, and spatial population synchrony
Proceedings of the National Academy of Sciences of the United States of America (PNAS) 2022
ARKIV /
DOI
Eivind Flittie Kleiven,
Pedro Guilherme Antunes Lopes Da Silva Nicolau,
Sigrunn Holbek Sørbye,
Jon Aars,
Nigel Yoccoz,
Rolf Anker Ims
:
Using camera traps to monitor cyclic vole populations
Remote Sensing in Ecology and Conservation 2022
ARKIV /
DOI
Nenad Tajsic,
Sigrunn Holbek Sørbye,
Sophy Nguon,
Vannara Sokh,
Aymeric Lim
:
Norwegian Open Fracture Management System: Outcomes after 10 Years Working in Low-Resource Settings in Cambodian Hospitals
Prehospital and Disaster Medicine 2022
ARKIV /
DOI
Martin Wibe Rypdal,
Kristoffer Rypdal,
Ola Løvsletten,
Sigrunn Holbek Sørbye,
Elinor Ytterstad,
Filippo Maria Bianchi
:
Estimation of Excess Mortality and Years of Life Lost to COVID-19 in Norway and Sweden between March and November 2020
International Journal of Environmental Research and Public Health (IJERPH) 2021
ARKIV /
DOI
Sigrunn Holbek Sørbye,
Pedro Guilherme Nicolau,
Håvard Rue
:
Finite-sample properties of estimators for first and second order autoregressive processes
Statistical Inference for Stochastic Processes : An International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems 2021
ARKIV /
DOI
Ola Haug,
Thordis Linda Thorarinsdottir,
Sigrunn Holbek Sørbye,
Christian L.E. Franzke
:
Spatial trend analysis of gridded temperature data at varying spatial scales
Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO) 2020
ARKIV /
DOI
Pedro Guilherme Nicolau,
Sigrunn Holbek Sørbye,
Nigel Yoccoz
:
Incorporating capture heterogeneity in the estimation of autoregressive coefficients of animal population dynamics using capture–recapture data
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
Hege-Beate Fredriksen,
Håvard Rue,
Martin Wibe Rypdal
:
Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling
Earth System Dynamics (ESD) 2020
ARKIV /
DOI
Eirik Myrvoll-Nilsen,
Hege-Beate Fredriksen,
Sigrunn Holbek Sørbye,
Martin wibe Rypdal
:
Warming trends and long-range dependent climate variability since year 1900: A Bayesian approach
Frontiers in Earth Science 2019
ARKIV /
DOI
Martin wibe Rypdal,
Hege-Beate Fredriksen,
Eirik Myrvoll-Nilsen,
Kristoffer Rypdal,
Sigrunn Holbek Sørbye
:
Emergent scale invariance and climate sensitivity
Sigrunn Holbek Sørbye,
Eirik Myrvoll-Nilsen,
Håvard Rue
:
An approximate fractional Gaussian noise model with O(n) computational cost
Statistics and computing 2018
DOI
Sigrunn Holbek Sørbye,
Janine B. Illian,
Daniel Peter Simpson,
David F. R. P. Burslem,
Håvard Rue
:
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
The Journal of the Royal Statistical Society, Series C (Applied Statistics) 2018
DOI
Daniel Simpson,
Håvard Rue,
Andrea Ingeborg Riebler,
Thiago Guerrera Martins,
Sigrunn Holbek Sørbye
:
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
Sigrunn Holbek Sørbye,
Håvard Rue
:
Penalised Complexity Priors for Stationary Autoregressive Processes
Journal of Time Series Analysis 2017
ARKIV /
DOI
Daniel Simpson,
Håvard Rue,
Andrea Ingeborg Riebler,
Thiago Guerrera Martins,
Sigrunn Holbek Sørbye
:
You Just Keep on Pushing My Love over the Borderline: A Rejoinder
Sigrunn Holbek Sørbye,
Håvard Rue
:
Fractional Gaussian noise: Prior specification and model comparison
Håvard Rue,
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Janine B. Illian,
Daniel Peter Simpson,
Finn Kristian Lindgren
:
Bayesian Computing with INLA: A Review
Annual Review of Statistics and Its Application 2017
ARKIV /
DOI
John Fredrik Strøm,
Eva Bonsak Thorstad,
Graham Chafe,
Sigrunn Holbek Sørbye,
David Righton,
Audun H. Rikardsen
m.fl.:
Ocean migration of pop-up satellite archival tagged Atlantic salmon from the Miramichi River in Canada
ICES Journal of Marine Science 13. januar 2017
ARKIV /
DOI
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Daniel Peter Simpson,
Håvard Rue
:
An intuitive Bayesian spatial model for disease mapping that
accounts for scaling
Statistical Methods in Medical Research 2016
DOI
Daniel Simpson,
Janine B. Illian,
Finn Lindgren,
Sigrunn Holbek Sørbye,
Håvard Rue
:
Going off grid: Computationally efficient inference for log-Gaussian Cox processes
Samuel Kociscak,
Sigrunn Holbek Sørbye,
Andreas Kvammen,
Ingrid Brigitte Mann,
Arnaud Zaslavsky,
Audun Theodorsen
:
Bayesian inference of β-meteoroid parameters with Solar Orbiter
2023
Samuel Kociscak,
Sigrunn Holbek Sørbye,
Andreas Kvammen,
Audun Theodorsen,
Ingrid Mann,
Arnaud Zaslavsky
:
Bayesian Approch to β-meteoroids Detected on Solar Orbiter
2022
Samuel Kociscak,
Sigrunn Holbek Sørbye
:
Cosmic Dust in the Solar System - Bayesian Modelling with INLA
2022
Samuel Kociscak,
Sigrunn Holbek Sørbye,
Andreas Kvammen,
Ingrid Mann,
Arnaud Zaslavsky,
Audun Theodorsen
:
Bayesian Approch to β-meteoroids Detected on Solar Orbiter - How Fast is the Cosmic Dust?
2022
Pedro Guilherme Nicolau,
Sigrunn Holbek Sørbye,
Nigel Yoccoz
:
Incorporating sampling error in the estimation of autoregressive coefficients of animal population cycles using capture-recapture data
2020
Sigrunn Holbek Sørbye
:
Statistical models for long-range dependent climate data
2020
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
Hege-Beate Fredriksen,
Martin wibe Rypdal
:
A statistical model for global surface temperature response to radiative forcing with long-range dependent noise
2019
Sigrunn Holbek Sørbye,
Eirik Myrvoll-Nilsen,
Martin wibe Rypdal,
Hege-Beate Fredriksen,
Håvard Rue
:
Bayesian analysis of temperature series accounting for long-range dependence and climate forcing
2019
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye
:
Incorporating long-range dependency into Bayesian spatio-temporal modeling
2019
Sigrunn Holbek Sørbye
:
Bayesian analysis of long-range dependent processes with applications in climatology
2019
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
Martin wibe Rypdal,
Hege-Beate Fredriksen,
Håvard Rue
:
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process
2018
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
Martin wibe Rypdal,
Hege-Beate Fredriksen,
Håvard Rue
:
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process
2018
Sigrunn Holbek Sørbye,
Janine B. Illian,
Daniel Simpson,
David F. R. P. Burslem,
Håvard Rue
:
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
2018
Sigrunn Holbek Sørbye
:
Efficient approximation of a long memory process
2017
Sigrunn Holbek Sørbye,
Janine B. Illian,
Daniel Simpson,
David F. R. P. Burslem
:
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
Sigrunn Holbek Sørbye,
Eirik Myrvoll-Nilsen,
Håvard Rue
:
An approximate fractional Gaussian noise model with O(n) computational cost
Ola Haug,
Thordis Linda Thorarinsdottir,
Sigrunn Holbek Sørbye,
Christian Franzke
:
Spatial trend analysis of gridded temperature data sets at varying spatial scales
2017
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
Håvard Rue
:
Computationally efficient Bayesian approximation of fractional Gaussian noise
2017
Sigrunn Holbek Sørbye,
Håvard Rue
:
Penalised complexity priors for stationary autoregressive processes
Sigrunn Holbek Sørbye
:
Life made easy: Penalised complexity priors
2016
Sigrunn Holbek Sørbye,
Håvard Rue
:
Penalised Complexity Priors for Autoregressive Processes
2016
Sigrunn Holbek Sørbye
:
Fractional Gaussian noise models with applications to climate
2016
Håvard Rue,
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Janine Illian,
Daniel Peter Simpson,
Finn Kristian Lindgren
:
Bayesian Computing with INLA: A Review
2016
Andrea Riebler,
Daniel Simpson,
Sigrunn Holbek Sørbye,
Finn Lindgren,
Geir-Arne Fuglstad,
Håvard Rue
:
Choosing sensible priors for Bayesian spatial analysis in epidemiology
2015
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Daniel Peter Simpson,
Håvard Rue
:
An intuitive Bayesian spatial model for disease mapping that accounts for scaling
2015
Andrea Ingeborg Riebler,
Daniel Peter Simpson,
Sigrunn Holbek Sørbye,
Finn Lindgren,
Geir-Arne Fuglstad,
Håvard Rue
:
Choosing sensible priors for Bayesian spatial analysis in epidemiology
2015