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Sigrunn Holbek Sørbye
Sigrunn Holbek Sørbye
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Année
Penalising model component complexity: A principled, practical approach to constructing priors
D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye
10752017
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, 395-421, 2017
6762017
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
4002016
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
2572016
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
JB Illian, SH Sørbye, H Rue
2432012
Scaling intrinsic Gaussian Markov random field priors in spatial modelling
SH Sørbye, H Rue
Spatial Statistics 8, 39-51, 2014
1862014
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
992013
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
622012
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
542017
Penalised complexity priors for stationary autoregressive processes
SH Sørbye, H Rue
Journal of Time Series Analysis 38 (6), 923-935, 2017
512017
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
372019
Fractional Gaussian noise: Prior specification and model comparison
SH Sørbye, H Rue
Environmetrics 29 (5-6), e2457, 2018
272018
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
182011
Fitting a log Gaussian Cox process with temporally varying effects—a case study
JB Illian, SH Sørbye, H Rue, DK Hendrichsen
Preprint Statistics, 2010
182010
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
182001
An approximate fractional Gaussian noise model with computational cost
SH Sørbye, E Myrvoll-Nilsen, H Rue
Statistics and Computing 29, 821-833, 2019
142019
Bayesian multiscale feature detection of log-spectral densities
SH Sørbye, K Hindberg, LR Olsen, H Rue
Computational statistics & data analysis 53 (11), 3746-3754, 2009
142009
Emergent scale invariance and climate sensitivity
M Rypdal, HB Fredriksen, E Myrvoll-Nilsen, K Rypdal, SH Sørbye
Climate 6 (4), 93, 2018
132018
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
122021
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