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Bilde av Sørbye, Sigrunn Holbek
Bilde av Sørbye, Sigrunn Holbek
Department of Mathematics and Statistics sigrunn.sorbye@uit.no +4777645504 Here you can find me

Sigrunn Holbek Sørbye

Professor

  • 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 Inge 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 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
  • 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
    BMC Nutrition 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
  • 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 2022 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
  • 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
  • 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 ARKIV / DOI
  • 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
  • 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
  • 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
  • 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
  • Martin wibe Rypdal, Hege-Beate Fredriksen, Eirik Myrvoll-Nilsen, Kristoffer Rypdal, Sigrunn Holbek Sørbye :
    Emergent scale invariance and climate sensitivity
    Climate 2018 ARKIV / DOI
  • 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, 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
    Statistical Science 2017 ARKIV / DOI
  • John Fredrik Strøm, Eva Bonsak Thorstad, Graham Chafe, Sigrunn Holbek Sørbye, David Righton, Audun H. Rikardsen et al.:
    Ocean migration of pop-up satellite archival tagged Atlantic salmon from the Miramichi River in Canada
    ICES Journal of Marine Science 13. January 2017 ARKIV / 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
    Statistical Science 2017 ARKIV / DOI
  • 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
  • Sigrunn Holbek Sørbye, Håvard Rue :
    Fractional Gaussian noise: Prior specification and model comparison
    Environmetrics 2017 ARKIV / DOI
  • Daniel Simpson, Janine B. Illian, Finn Lindgren, Sigrunn Holbek Sørbye, Håvard Rue :
    Going off grid: Computationally efficient inference for log-Gaussian Cox processes
    Biometrika 2016 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
  • 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
  • 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
  • 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 :
    Bayesian analysis of long-range dependent processes with applications in climatology
    2019
  • 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
  • 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, Eirik Myrvoll-Nilsen, Håvard Rue :
    An approximate fractional Gaussian noise model with O(n) computational cost
    2017 FULLTEKST
  • 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 FULLTEKST
  • 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
  • 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 Autoregressive Processes
    2016
  • Sigrunn Holbek Sørbye, Håvard Rue :
    Penalised complexity priors for stationary autoregressive processes
    2016 FULLTEKST
  • Sigrunn Holbek Sørbye :
    Life made easy: Penalised complexity priors
    2016
  • Håvard 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 :
    Fractional Gaussian noise models with applications to climate
    2016
  • 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
  • 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 Riebler, Daniel Simpson, Sigrunn Holbek Sørbye, Finn Lindgren, Geir-Arne Fuglstad, Håvard Rue :
    Choosing sensible priors for Bayesian spatial analysis in epidemiology
    2015
  • Daniel Peter Simpson, Janine Illian, Sigrunn Holbek Sørbye :
    Spatial Modelling with INLA Short Course
    2014
  • Thiago Guerrera Martins, Daniel Peter Simpson, Andrea Riebler, Håvard Rue, Sigrunn Holbek Sørbye :
    Penalising model component complexity: A principled, practical approach to constructing priors
    2014

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    Research interests

    Statistical modeling and analysis of time series and spatial data.

    Bayesian computation using the methodology of integrated nested Laplace approximation (INLA).


    Member of research group

    Modellering av komplekse systemer   Norsk innhold Complex Systems Modeling (CoSMo)   English content Statistikk og dataanalyse   Norsk innhold Statistics and Data Analysis   English content

    Member of project

    Intermittent fluctuations in physical systems    English content Transforming ocean surveying by the power of DL and statistical methods    English content