Sigrunn Holbek Sørbye
Sigrunn Holbek Sørbye
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Cited by
Cited by
Penalising model component complexity: A principled, practical approach to constructing priors
D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye
Statistical science 32 (1), 1-28, 2017
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
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
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
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
JB Illian, SH Sørbye, H Rue
The annals of applied statistics, 1499-1530, 2012
Scaling intrinsic Gaussian Markov random field priors in spatial modelling
SH Sørbye, H Rue
Spatial Statistics 8, 39-51, 2014
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
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
Penalised complexity priors for stationary autoregressive processes
SH Sørbye, H Rue
Journal of Time Series Analysis 38 (6), 923-935, 2017
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
Fractional Gaussian noise: Prior specification and model comparison
SH Sørbye, H Rue
Environmetrics 29 (5-6), e2457, 2018
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 …, 2019
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
Fitting a log Gaussian Cox process with temporally varying effects–a case study
JB Illian, SH Sørbye, H Rue, DK Hendrichsen
Preprint Statistics, 2010
Simultaneous credible bands for latent Gaussian models
SH Sørbye, H Rue
Scandinavian Journal of Statistics 38 (4), 712-725, 2011
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
Penalising model component complexity: A principled, practical approach to constructing priors
TG Martins, DP Simpson, A Riebler, H Rue, SH Sørbye
arXiv preprint arXiv:1403.4630, 2014
Emergent scale invariance and climate sensitivity
M Rypdal, HB Fredriksen, E Myrvoll-Nilsen, K Rypdal, SH Sørbye
Climate 6 (4), 93, 2018
A scale‐space approach for detecting non‐stationarities in time series
LR Olsen, SH Sørbye, F Godtliebsen
Scandinavian Journal of Statistics 35 (1), 119-138, 2008
A Bayesian method for multispectral image data classification
G Sebastiani, SH Sørbye
Journal of Nonparametric Statistics 14 (1-2), 169-180, 2002
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