Sigrunn Holbek Sørbye
Ã…se 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 /
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
Marine Policy 2023 /
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 /
Ã…se 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
BMC Nutrition 2022 /
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 /
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 /
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 /
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 /
Sigrunn Holbek Sørbye,
Pedro Guilherme Nicolau,
HÃ¥vard 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 /
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 /
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
Hege-Beate Fredriksen,
HÃ¥vard Rue,
Martin Wibe Rypdal
:
Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling
Earth System Dynamics (ESD) 2020 /
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
Ecology and Evolution 2020 /
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 /
Sigrunn Holbek Sørbye,
Eirik Myrvoll-Nilsen,
HÃ¥vard Rue
:
An approximate fractional Gaussian noise model with O(n) computational cost
Statistics and computing 2018
Sigrunn Holbek Sørbye,
Janine B. Illian,
Daniel Peter Simpson,
David F. R. P. Burslem,
HÃ¥vard Rue
:
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
Journal of the Royal Statistical Society, Series C (Applied Statistics) 2018
Martin wibe Rypdal,
Hege-Beate Fredriksen,
Eirik Myrvoll-Nilsen,
Kristoffer Rypdal,
Sigrunn Holbek Sørbye
:
Emergent scale invariance and climate sensitivity
Climate 2018 /
Sigrunn Holbek Sørbye,
HÃ¥vard Rue
:
Penalised Complexity Priors for Stationary Autoregressive Processes
Journal of Time Series Analysis 2017 /
HÃ¥vard 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 /
Daniel Simpson,
HÃ¥vard Rue,
Andrea Ingeborg Riebler,
Thiago Guerrera Martins,
Sigrunn Holbek Sørbye
:
You Just Keep on Pushing My Love over the Borderline: A Rejoinder
Statistical Science 2017 /
Sigrunn Holbek Sørbye,
HÃ¥vard Rue
:
Fractional Gaussian noise: Prior specification and model comparison
Environmetrics 2017 /
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 /
Daniel Simpson,
HÃ¥vard Rue,
Andrea Ingeborg Riebler,
Thiago Guerrera Martins,
Sigrunn Holbek Sørbye
:
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
Statistical Science 2017 /
Daniel Simpson,
Janine B. Illian,
Finn Lindgren,
Sigrunn Holbek Sørbye,
HÃ¥vard Rue
:
Going off grid: Computationally efficient inference for log-Gaussian Cox processes
Biometrika 2016
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Daniel Peter Simpson,
HÃ¥vard Rue
:
An intuitive Bayesian spatial model for disease mapping that
accounts for scaling
Statistical Methods in Medical Research 2016
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
:
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
Samuel Kociscak,
Sigrunn Holbek Sørbye,
Andreas Kvammen,
Audun Theodorsen,
Ingrid Mann,
Arnaud Zaslavsky
:
Bayesian Approch to β-meteoroids Detected on Solar Orbiter
2022
Sigrunn Holbek Sørbye
:
Statistical models for long-range dependent climate data
2020
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
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,
HÃ¥vard 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,
HÃ¥vard 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,
HÃ¥vard 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,
HÃ¥vard Rue
:
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
2018
Eirik Myrvoll-Nilsen,
Sigrunn Holbek Sørbye,
HÃ¥vard Rue
:
Computationally efficient Bayesian approximation of fractional Gaussian noise
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
2017
Sigrunn Holbek Sørbye,
Eirik Myrvoll-Nilsen,
HÃ¥vard Rue
:
An approximate fractional Gaussian noise model with O(n) computational cost
2017
Ola Haug,
Thordis Linda Thorarinsdottir,
Sigrunn Holbek Sørbye,
Christian Franzke
:
Spatial trend analysis of gridded temperature data sets at varying spatial scales
2017
Sigrunn Holbek Sørbye
:
Efficient approximation of a long memory process
2017
Sigrunn Holbek Sørbye,
HÃ¥vard Rue
:
Penalised complexity priors for stationary autoregressive processes
2016
Sigrunn Holbek Sørbye
:
Life made easy: Penalised complexity priors
2016
Sigrunn Holbek Sørbye
:
Fractional Gaussian noise models with applications to climate
2016
HÃ¥vard Rue,
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Janine Illian,
Daniel Peter Simpson,
Finn Kristian Lindgren
:
Bayesian Computing with INLA: A Review
2016
Sigrunn Holbek Sørbye,
HÃ¥vard Rue
:
Penalised Complexity Priors for Autoregressive Processes
2016
Andrea Riebler,
Daniel Simpson,
Sigrunn Holbek Sørbye,
Finn Lindgren,
Geir-Arne Fuglstad,
HÃ¥vard Rue
:
Choosing sensible priors for Bayesian spatial analysis in epidemiology
2015
Andrea Ingeborg Riebler,
Sigrunn Holbek Sørbye,
Daniel Peter Simpson,
HÃ¥vard 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,
HÃ¥vard Rue
:
Choosing sensible priors for Bayesian spatial analysis in epidemiology
2015
Forskningsinteresser
Statistical modeling and analysis of time series and spatial data.
Bayesian computation using the methodology of integrated nested Laplace approximation (INLA).
