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Sigrunn Holbek Sørbye
Sigrunn Holbek Sørbye
UiT The Arctic University of Norway
Verifisert e-postadresse på uit.no - Startside
Tittel
Sitert av
Sitert av
År
Penalising model component complexity: A principled, practical approach to constructing priors
D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye
12272017
Bayesian computing with INLA: a review
H Rue, A Riebler, SH Sørbye, JB Illian, DP Simpson, FK Lindgren
Annual Review of Statistics and Its Application 4 (1), 395-421, 2017
8032017
An intuitive Bayesian spatial model for disease mapping that accounts for scaling
A Riebler, SH Sørbye, D Simpson, H Rue
Statistical methods in medical research 25 (4), 1145-1165, 2016
4722016
Going off grid: Computationally efficient inference for log-Gaussian Cox processes
D Simpson, JB Illian, F Lindgren, SH Sørbye, H Rue
Biometrika 103 (1), 49-70, 2016
2852016
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
JB Illian, SH Sørbye, H Rue
2652012
Scaling intrinsic Gaussian Markov random field priors in spatial modelling
SH Sørbye, H Rue
Spatial Statistics 8, 39-51, 2014
2062014
Fitting complex ecological point process models with integrated nested Laplace approximation
JB Illian, S Martino, SH Sørbye, JB Gallego‐Fernández, M Zunzunegui, ...
Methods in Ecology and Evolution 4 (4), 305-315, 2013
1092013
Using INLA to fit a complex point process model with temporally varying effects-a case study
JB Illian, SH Sørbye, H Rue, DK Hendrichsen
Journal of Environmental Statistics 3 (7), 2012
632012
Ocean migration of pop-up satellite archival tagged Atlantic salmon from the Miramichi River in Canada
JF Strøm, EB Thorstad, G Chafe, SH Sørbye, D Righton, AH Rikardsen, ...
ICES Journal of Marine Science 74 (5), 1356-1370, 2017
602017
Penalised complexity priors for stationary autoregressive processes
SH Sørbye, H Rue
Journal of Time Series Analysis 38 (6), 923-935, 2017
552017
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
SH S⊘ rbye, JB Illian, DP Simpson, D Burslem, H Rue
Journal of the Royal Statistical Society Series C: Applied Statistics 68 (3 …, 2019
422019
Fractional Gaussian noise: Prior specification and model comparison
SH Sørbye, H Rue
Environmetrics 29 (5-6), e2457, 2018
312018
Nursing students' attitudes towards assisted suicide and euthanasia: A study from four different schools of nursing
LW Sørbye, S Sørbye, SW Sørbye
Scandinavian journal of caring sciences 9 (2), 119-122, 1995
221995
Simultaneous credible bands for latent Gaussian models
SH Sørbye, H Rue
Scandinavian Journal of Statistics 38 (4), 712-725, 2011
192011
Fitting a log Gaussian Cox process with temporally varying effects—a case study
JB Illian, SH Sørbye, H Rue, DK Hendrichsen
Preprint Statistics, 2010
192010
An approximate fractional Gaussian noise model with computational cost
SH Sørbye, E Myrvoll-Nilsen, H Rue
Statistics and Computing 29, 821-833, 2019
172019
An estimator for functional data with application to MRI
F Godtliebseu, CK Chu, SH Sorbye, G Torheim
IEEE transactions on medical imaging 20 (1), 36-44, 2001
172001
Estimation of excess mortality and years of life lost to COVID-19 in Norway and Sweden between March and November 2020
M Rypdal, K Rypdal, O Løvsletten, SH Sørbye, E Ytterstad, FM Bianchi
International Journal of Environmental Research and Public Health 18 (8), 3913, 2021
152021
Seasonality, density dependence, and spatial population synchrony
PG Nicolau, RA Ims, SH Sørbye, NG Yoccoz
Proceedings of the National Academy of Sciences 119 (51), e2210144119, 2022
142022
Emergent scale invariance and climate sensitivity
M Rypdal, HB Fredriksen, E Myrvoll-Nilsen, K Rypdal, SH Sørbye
Climate 6 (4), 93, 2018
142018
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Artikler 1–20