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2021
1 Rypdal, Martin Wibe; Rypdal, Kristoffer; Løvsletten, Ola; Sørbye, Sigrunn Holbek; Ytterstad, Elinor; Bianchi, 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 ;Volum 18.(8)
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2020
2 Haug, Ola; Thorarinsdottir, Thordis Linda; Sørbye, Sigrunn Holbek; Franzke, Christian L.E..
Spatial trend analysis of gridded temperature data at varying spatial scales. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO) 2020 ;Volum 6.(1) s. 1-12
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3 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Fredriksen, Hege-Beate; Rue, Håvard; Rypdal, Martin Wibe.
Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling. Earth System Dynamics 2020 ;Volum 11. s. 329-345
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4 Nicolau, Pedro Guilherme; Sørbye, Sigrunn Holbek; Yoccoz, Nigel.
Incorporating capture heterogeneity in the estimation of autoregressive coefficients of animal population dynamics using capture–recapture data. Ecology and Evolution 2020 ;Volum 10.(23) s. 12710-12726
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5 Nicolau, Pedro Guilherme; Sørbye, Sigrunn Holbek; Yoccoz, Nigel.
Incorporating sampling error in the estimation of autoregressive coefficients of animal population cycles using capture-recapture data. virtual International Statistical Ecology Conference; 2020-06-22 - 2020-06-26
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6 Sørbye, Sigrunn Holbek.
Statistical models for long-range dependent climate data. Graduate Seminar; 2020-02-20
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2019
7 Myrvoll-Nilsen, Eirik; Fredriksen, Hege-Beate; Sørbye, Sigrunn Holbek; Rypdal, Martin wibe.
Warming trends and long-range dependent climate variability since year 1900: A Bayesian approach. Frontiers in Earth Science 2019 ;Volum 7.(214) s. -
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8 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek.
Incorporating long-range dependency into Bayesian spatio-temporal modeling. Det 20. norske statistikermøtet; 2019-06-17 - 2019-06-20
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9 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Fredriksen, Hege-Beate; Rypdal, Martin wibe.
A statistical model for global surface temperature response to radiative forcing with long-range dependent noise. EGU General Assembly 2019; 2019-04-07 - 2019-04-12
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10 Sørbye, Sigrunn Holbek.
Bayesian analysis of long-range dependent processes with applications in climatology. 11th Trondheim Symposium in Statistics; 2019-09-27 - 2019-09-28
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11 Sørbye, Sigrunn Holbek; Myrvoll-Nilsen, Eirik; Rypdal, Martin wibe; Fredriksen, Hege-Beate; Rue, Håvard.
Bayesian analysis of temperature series accounting for long-range dependence and climate forcing. Det 20. norske statistikermøtet; 2019-06-18 - 2019-06-20
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2018
12 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Rypdal, Martin wibe; Fredriksen, Hege-Beate; Rue, Håvard.
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process. The 27th Nordic Conference in Mathematical Statistics; 2018-06-26 - 2018-06-29
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13 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Rypdal, Martin wibe; Fredriksen, Hege-Beate; Rue, Håvard.
Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process. The 4th Baysian Young Statisticians Meeting; 2018-07-02 - 2018-07-03
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14 Rypdal, Martin wibe; Fredriksen, Hege-Beate; Myrvoll-Nilsen, Eirik; Rypdal, Kristoffer; Sørbye, Sigrunn Holbek.
Emergent scale invariance and climate sensitivity. Climate 2018 ;Volum 6.(4) s. 1-15
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15 Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel; Burslem, David F. R. P.; Rue, Håvard.
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes. The 27th Nordic Conference on Mathematical Statistics; 2018-06-26 - 2018-06-29
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16 Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel Peter; Burslem, David F. R. P.; Rue, Håvard.
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes. The Journal of the Royal Statistical Society, Series C (Applied Statistics) 2018 s. 1-22
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17 Sørbye, Sigrunn Holbek; Myrvoll-Nilsen, Eirik; Rue, Håvard.
An approximate fractional Gaussian noise model with O(n) computational cost. Statistics and computing 2018 s. 1-13
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2017
18 Haug, Ola; Thorarinsdottir, Thordis Linda; Sørbye, Sigrunn Holbek; Franzke, Christian.
Spatial trend analysis of gridded temperature data sets at varying spatial scales. Synthesis of Statistics, Data Mining and Environmental Sciences in Pursuit of Knowledge Discovery (17w5076); 2017-10-29 - 2017-11-03
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19 Myrvoll-Nilsen, Eirik; Sørbye, Sigrunn Holbek; Rue, Håvard.
Computationally efficient Bayesian approximation of fractional Gaussian noise. Det 19. Norske Statistikermøtet; 2017-06-13 - 2017-06-15
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20 Rue, Håvard; Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel Peter; Lindgren, Finn Kristian.
Bayesian Computing with INLA: A Review. Annual Review of Statistics and Its Application 2017 ;Volum 4. s. 395-421
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21 Simpson, Daniel; Rue, Håvard; Riebler, Andrea Ingeborg; Martins, Thiago Guerrera; Sørbye, Sigrunn Holbek.
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors. Statistical Science 2017 ;Volum 32.(1) s. 1-28
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22 Simpson, Daniel; Rue, Håvard; Riebler, Andrea Ingeborg; Martins, Thiago Guerrera; Sørbye, Sigrunn Holbek.
You Just Keep on Pushing My Love over the Borderline: A Rejoinder. Statistical Science 2017 ;Volum 32.(1) s. 44-46
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23 Strøm, John Fredrik; Thorstad, Eva Bonsak; Chafe, Graham; Sørbye, Sigrunn Holbek; Righton, David; Rikardsen, Audun H.; Carr, Jonathan.
Ocean migration of pop-up satellite archival tagged Atlantic salmon from the Miramichi River in Canada. ICES Journal of Marine Science 2017 ;Volum 74.(5) s. 1356-1370
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24 Sørbye, Sigrunn Holbek.
Efficient approximation of a long memory process. Statistic Seminar; 2017-05-01
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25 Sørbye, Sigrunn Holbek; Illian, Janine B.; Simpson, Daniel; Burslem, David F. R. P..
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes. : arXiv.org 2017 21 s. arXiv.org(1709.06781)
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26 Sørbye, Sigrunn Holbek; Myrvoll-Nilsen, Eirik; Rue, Håvard.
An approximate fractional Gaussian noise model with O(n) computational cost. : arXiv.org 2017 16 s. arXiv.org(1709.06115)
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27 Sørbye, Sigrunn Holbek; Rue, Håvard.
Fractional Gaussian noise: Prior specification and model comparison. Environmetrics 2017 ;Volum 29.(5-6) s. 1-12
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28 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised Complexity Priors for Stationary Autoregressive Processes. Journal of Time Series Analysis 2017 ;Volum 38.(6) s. 923-935
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2016
29 Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Simpson, Daniel Peter; Rue, Håvard.
An intuitive Bayesian spatial model for disease mapping that accounts for scaling. Statistical Methods in Medical Research 2016 ;Volum 25.(4) s. 1145-1165
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30 Rue, Håvard; Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Illian, Janine; Simpson, Daniel Peter; Lindgren, Finn Kristian.
Bayesian Computing with INLA: A Review. arXiv:1604.00860: arxiv 2016
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31 Simpson, Daniel; Illian, Janine B.; Lindgren, Finn; Sørbye, Sigrunn Holbek; Rue, Håvard.
Going off grid: Computationally efficient inference for log-Gaussian Cox processes. Biometrika 2016 ;Volum 103.(1) s. 49-70
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32 Sørbye, Sigrunn Holbek.
Fractional Gaussian noise models with applications to climate. The autumn meeting on latent Gaussian models; 2016-12-10 - 2016-12-12
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33 Sørbye, Sigrunn Holbek.
Life made easy: Penalised complexity priors. The Fifth Workshop on Bayesian Inference for Latent Gaussian Models with Applications; 2016-09-14 - 2016-09-16
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34 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised Complexity Priors for Autoregressive Processes. ISBA 2016 World Meeting; 2016-06-13 - 2016-06-17
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35 Sørbye, Sigrunn Holbek; Rue, Håvard.
Penalised complexity priors for stationary autoregressive processes. : arXiv.org 2016 14 s. arXiv.org(1608.08941)
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2015
36 Riebler, Andrea Ingeborg; Simpson, Daniel Peter; Sørbye, Sigrunn Holbek; Lindgren, Finn; Fuglstad, Geir-Arne; Rue, Håvard.
Choosing sensible priors for Bayesian spatial analysis in epidemiology. GEOMED 2015; 2015-09-10 - 2015-09-12
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37 Riebler, Andrea Ingeborg; Sørbye, Sigrunn Holbek; Simpson, Daniel Peter; Rue, Håvard.
An intuitive Bayesian spatial model for disease mapping that accounts for scaling. Seminar series; 2015-11-04 - 2015-11-04
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38 Riebler, Andrea; Simpson, Daniel; Sørbye, Sigrunn Holbek; Lindgren, Finn; Fuglstad, Geir-Arne; Rue, Håvard.
Choosing sensible priors for Bayesian spatial analysis in epidemiology. GEOMED 2015; 2015-09-10 - 2015-09-12
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2014
39 Martins, Thiago Guerrera; Simpson, Daniel Peter; Riebler, Andrea; Rue, Håvard; Sørbye, Sigrunn Holbek.
Penalising model component complexity: A principled, practical approach to constructing priors. arXiv:1403.4630: ArXiv 2014 34 s.
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40 Riebler, Andrea; Martins, Thiago Guerrera; Simpson, Daniel Peter; Guo, Jingyi; Rue, Håvard; Sørbye, Sigrunn Holbek.
Penalising model component complexity:A principled, practical approach for constructing priors -- An application to bivariate meta-analysis. Bayesian Biostatistics 2014; 2014-07-02 - 2014-07-05
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41 Simpson, Daniel Peter; Illian, Janine; Sørbye, Sigrunn Holbek.
Spatial Modelling with INLA Short Course. Spatial Modelling with INLA Short Course, University of St Andrews; 2014-06-02 - 2014-06-04
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2013
42 Illian, Janine B.; Martino, Sara; Sørbye, Sigrunn Holbek; Gallego-Fernandez, Juan; Zunzunegui, Maria; Esquivias, M. Paz; Travis, Justin M. J..
Fitting complex ecological point process models with integrated nested Laplace approximation. Methods in Ecology and Evolution 2013 ;Volum 4.(4) s. 305-315
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43 Sørbye, Sigrunn Holbek; Rue, Håvard.
Scaling intrinsic Gaussian Markov random field priors in spatial modelling. Spatial Statistics 2013 ;Volum 8. s. 39-51
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2012
44 Geilhufe, Marc; Skrøvseth, Stein Olav; Sørbye, Sigrunn Holbek; Yigzaw, Kassaye Yitbarek; Bellika, Johan Gustav; Godtliebsen, Fred.
Spatio-temporal modeling of communicable diseases: A case study of North Norway. The Second Workshop on Bayesian Inference for Latent Gaussian Models with Applications; 2012-05-30 - 2012-06-01
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45 Illian, Janine; Sørbye, Sigrunn Holbek; Rue, Håvard.
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA). Annals of Applied Statistics 2012 ;Volum 6.(4) s. 1499-1530
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46 Illian, Janine; Sørbye, Sigrunn Holbek; Rue, Håvard; Hendrichsen, Ditte Katrine.
Using INLA to fit a complex point process model with temporally varying effects - A case study. Journal of Environmental Statistics 2012 ;Volum 3.(7) s. 1-29
NINA NTNU UiT Untitled
 
47 Sørbye, Sigrunn Holbek.
Analysis of spatial point patterns using INLA. Spatial Modelling with INLA Workshop; 2012-01-17 - 2012-01-19
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48 Sørbye, Sigrunn Holbek.
Scaling intrinsic Gaussian Markov random field priors in spatial modeling. University of Miami Spatial Statistics Conference 2012; 2012-12-13 - 2012-12-15
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49 Sørbye, Sigrunn Holbek; Hendrichsen, Ditte Katrine; Illian, Janine; Rue, Håvard.
Spatio-temporal modeling of replicated point patterns. The second workshop on Bayesian inference for latent Gaussian models with applications; 2012-05-30 - 2012-06-01
NINA NTNU UiT Untitled
 
2011
50 Sørbye, Sigrunn Holbek; Rue, Håvard.
Simultaneous Credible Bands for Latent Gaussian Models. Scandinavian Journal of Statistics 2011 ;Volum 38.(4) s. 712-725
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