| Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye | 1195 | 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 (1), 395-421, 2017 | 774 | 2017 |
| 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 | 461 | 2016 |
| 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 | 280 | 2016 |
| A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) JB Illian, SH Sørbye, H Rue | 262 | 2012 |
| Scaling intrinsic Gaussian Markov random field priors in spatial modelling SH Sørbye, H Rue Spatial Statistics 8, 39-51, 2014 | 204 | 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 | 105 | 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 | 63 | 2012 |
| 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 | 56 | 2017 |
| Penalised complexity priors for stationary autoregressive processes SH Sørbye, H Rue Journal of Time Series Analysis 38 (6), 923-935, 2017 | 53 | 2017 |
| 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 | 41 | 2019 |
| Fractional Gaussian noise: Prior specification and model comparison SH Sørbye, H Rue Environmetrics 29 (5-6), e2457, 2018 | 31 | 2018 |
| 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 | 22 | 1995 |
| Fitting a log Gaussian Cox process with temporally varying effects—a case study JB Illian, SH Sørbye, H Rue, DK Hendrichsen Preprint Statistics, 2010 | 21 | 2010 |
| Simultaneous credible bands for latent Gaussian models SH Sørbye, H Rue Scandinavian Journal of Statistics 38 (4), 712-725, 2011 | 18 | 2011 |
| 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 | 18 | 2001 |
| An approximate fractional Gaussian noise model with computational cost SH Sørbye, E Myrvoll-Nilsen, H Rue Statistics and Computing 29, 821-833, 2019 | 17 | 2019 |
| 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 | 15 | 2021 |
| Emergent scale invariance and climate sensitivity M Rypdal, HB Fredriksen, E Myrvoll-Nilsen, K Rypdal, SH Sørbye Climate 6 (4), 93, 2018 | 14 | 2018 |
| 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 | 14 | 2009 |
Håvard RueKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
