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

Sigrunn Holbek Sørbye



  • Åse Mari, Sigrunn Holbek :
    Analysis of dietary pattern effects on metabolic risk factors using structural equation modeling
    Frontiers in Nutrition 2025 DOI / FULLTEKST
  • Marina, Eirik, Sigrunn Holbek, Mette, Jannike, Per :
    Seafood production in Northern Norway: Analyzing variation and co-development in aquaculture and coastal fisheries
    Marine Policy 2023 DOI / ARKIV
  • Åse Mari, Elinor, Laila Arnesdatter, Ola, Monica Hauger, Sigrunn Holbek :
    Associations and predictive power of dietary patterns on metabolic syndrome and its components
    NMCD. Nutrition Metabolism and Cardiovascular Diseases 31. Oktober 2023 DOI / ARKIV
  • Samuel, Andreas, Ingrid, Sigrunn Holbek, Audun, Arnaud :
    Modeling Solar Orbiter dust detection rates in the inner heliosphere as a Poisson process
    Astronomy and Astrophysics (A & A) 2023 DOI / ARKIV
  • Nenad, Sigrunn Holbek, Sophy, Vannara, Aymeric :
    Norwegian Open Fracture Management System: Outcomes after 10 Years Working in Low-Resource Settings in Cambodian Hospitals
    Prehospital and Disaster Medicine 2022 DOI / ARKIV
  • Eivind Flittie, Pedro Guilherme Antunes Lopes Da Silva, Sigrunn Holbek, Jon, Nigel, Rolf Anker :
    Using camera traps to monitor cyclic vole populations
    Remote Sensing in Ecology and Conservation 2022 DOI / ARKIV
  • Pedro Guilherme Antunes Lopes Da Silva, Rolf Anker, Sigrunn Holbek, Nigel :
    Seasonality, density dependence, and spatial population synchrony
    Proceedings of the National Academy of Sciences of the United States of America (PNAS) 2022 DOI / ARKIV
  • Åse Mari, Sigrunn Holbek, Laila Arnesdatter, Monica Hauger, Ola, Elinor :
    Identifying dietary patterns across age, educational level and physical activity level in a cross-sectional study: the Tromsø Study 2015 - 2016
    BMC Nutrition 2022 DOI / ARKIV
  • Martin Wibe, Kristoffer, Ola, Sigrunn Holbek, Elinor, Filippo Maria :
    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 DOI / ARKIV
  • Sigrunn Holbek, Pedro Guilherme, Håvard :
    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 DOI / ARKIV
  • Ola, Thordis Linda, Sigrunn Holbek, Christian L.E. :
    Spatial trend analysis of gridded temperature data at varying spatial scales
    Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO) 2020 DOI / ARKIV
  • Eirik, Sigrunn Holbek, Hege-Beate, Håvard, Martin Wibe :
    Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling
    Earth System Dynamics (ESD) 2020 DOI / ARKIV
  • Pedro Guilherme, Sigrunn Holbek, Nigel :
    Incorporating capture heterogeneity in the estimation of autoregressive coefficients of animal population dynamics using capture–recapture data
    Ecology and Evolution 2020 DOI / ARKIV
  • Eirik, Hege-Beate, Sigrunn Holbek, Martin wibe :
    Warming trends and long-range dependent climate variability since year 1900: A Bayesian approach
    Frontiers in Earth Science 2019 DOI / ARKIV
  • Sigrunn Holbek, Janine B., Daniel Peter, David F. R. P., Håvard :
    Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
    Journal of the Royal Statistical Society, Series C (Applied Statistics) 2018 DOI
  • Martin wibe, Hege-Beate, Eirik, Kristoffer, Sigrunn Holbek :
    Emergent scale invariance and climate sensitivity
    Climate 2018 DOI / ARKIV
  • Sigrunn Holbek, Eirik, Håvard :
    An approximate fractional Gaussian noise model with O(n) computational cost
    Statistics and computing 2018 DOI
  • Daniel, Håvard, Andrea Ingeborg, Thiago Guerrera, Sigrunn Holbek :
    Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
    Statistical Science 2017 DOI / ARKIV
  • Daniel, Håvard, Andrea Ingeborg, Thiago Guerrera, Sigrunn Holbek :
    You Just Keep on Pushing My Love over the Borderline: A Rejoinder
    Statistical Science 2017 DOI / ARKIV
  • John Fredrik, Eva Bonsak, Graham, Sigrunn Holbek, David, Audun H. et al.:
    Ocean migration of pop-up satellite archival tagged Atlantic salmon from the Miramichi River in Canada
    ICES Journal of Marine Science 13. Januar 2017 DOI / ARKIV
  • Sigrunn Holbek, Håvard :
    Fractional Gaussian noise: Prior specification and model comparison
    Environmetrics 2017 DOI / ARKIV
  • Håvard, Andrea Ingeborg, Sigrunn Holbek, Janine B., Daniel Peter, Finn Kristian :
    Bayesian Computing with INLA: A Review
    Annual Review of Statistics and Its Application 2017 DOI / ARKIV
  • Sigrunn Holbek, Håvard :
    Penalised Complexity Priors for Stationary Autoregressive Processes
    Journal of Time Series Analysis 2017 DOI / ARKIV
  • Andrea Ingeborg, Sigrunn Holbek, Daniel Peter, Håvard :
    An intuitive Bayesian spatial model for disease mapping that accounts for scaling
    Statistical Methods in Medical Research 2016 DOI
  • Daniel, Janine B., Finn, Sigrunn Holbek, Håvard :
    Going off grid: Computationally efficient inference for log-Gaussian Cox processes
    Biometrika 2016 DOI
  • Sigrunn Holbek :
    Bringing advanced statistical tools to real-world applications
    04. September 2025
  • Sigrunn Holbek :
    Identifying early warning signals in climatic time series
    2025
  • Samuel, Sigrunn Holbek, Andreas, Ingrid Brigitte, Arnaud, Audun :
    Bayesian inference of β-meteoroid parameters with Solar Orbiter
    2023
  • Samuel, Sigrunn Holbek, Andreas, Audun, Ingrid, Arnaud :
    Bayesian Approch to β-meteoroids Detected on Solar Orbiter
    2022
  • Samuel, Sigrunn Holbek :
    Cosmic Dust in the Solar System - Bayesian Modelling with INLA
    2022
  • Samuel, Sigrunn Holbek, Andreas, Ingrid, Arnaud, Audun :
    Bayesian Approch to β-meteoroids Detected on Solar Orbiter - How Fast is the Cosmic Dust?
    2022
  • Sigrunn Holbek :
    Statistical models for long-range dependent climate data
    2020
  • Pedro Guilherme, Sigrunn Holbek, Nigel :
    Incorporating sampling error in the estimation of autoregressive coefficients of animal population cycles using capture-recapture data
    2020
  • Eirik, Sigrunn Holbek, Hege-Beate, Martin wibe :
    A statistical model for global surface temperature response to radiative forcing with long-range dependent noise
    2019
  • Sigrunn Holbek, Eirik, Martin wibe, Hege-Beate, Håvard :
    Bayesian analysis of temperature series accounting for long-range dependence and climate forcing
    2019
  • Sigrunn Holbek :
    Bayesian analysis of long-range dependent processes with applications in climatology
    2019
  • Eirik, Sigrunn Holbek :
    Incorporating long-range dependency into Bayesian spatio-temporal modeling
    2019
  • Sigrunn Holbek, Janine B., Daniel, David F. R. P., Håvard :
    Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
    2018
  • Eirik, Sigrunn Holbek, Martin wibe, Hege-Beate, Håvard :
    Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process
    2018
  • Eirik, Sigrunn Holbek, Martin wibe, Hege-Beate, Håvard :
    Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process
    2018
  • Ola, Thordis Linda, Sigrunn Holbek, Christian :
    Spatial trend analysis of gridded temperature data sets at varying spatial scales
    2017
  • Sigrunn Holbek :
    Efficient approximation of a long memory process
    2017
  • Sigrunn Holbek, Eirik, Håvard :
    An approximate fractional Gaussian noise model with O(n) computational cost
    arXiv.org 2017 FULLTEKST
  • Sigrunn Holbek, Janine B., Daniel, David F. R. P. :
    Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
    arXiv.org 2017 FULLTEKST
  • Eirik, Sigrunn Holbek, Håvard :
    Computationally efficient Bayesian approximation of fractional Gaussian noise
    2017
  • Sigrunn Holbek, Håvard :
    Penalised complexity priors for stationary autoregressive processes
    arXiv.org 2016 FULLTEKST
  • Sigrunn Holbek :
    Life made easy: Penalised complexity priors
    2016
  • Sigrunn Holbek :
    Fractional Gaussian noise models with applications to climate
    2016
  • Håvard, Andrea Ingeborg, Sigrunn Holbek, Janine, Daniel Peter, Finn Kristian :
    Bayesian Computing with INLA: A Review
    arxiv 2016
  • Sigrunn Holbek, Håvard :
    Penalised Complexity Priors for Autoregressive Processes
    2016

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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).

     

     





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