Håvard Rue
Cited by
Cited by
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
H Rue, S Martino, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009
Gaussian Markov random fields: theory and applications
H Rue, L Held
Chapman and Hall/CRC, 2005
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
F Lindgren, H Rue, J Lindström
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011
Bayesian spatial modelling with R-INLA
F Lindgren, H Rue
Journal of statistical software 63 (19), 2015
Penalising model component complexity: A principled, practical approach to constructing priors
D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye
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
Spatial and spatio-temporal models with R-INLA
M Blangiardo, M Cameletti, G Baio, H Rue
Spatial and spatio-temporal epidemiology 4, 33-49, 2013
Bayesian computing with INLA: new features
TG Martins, D Simpson, F Lindgren, H Rue
Computational Statistics & Data Analysis 67, 68-83, 2013
Fast sampling of Gaussian Markov random fields
H Rue
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001
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
Spatio-temporal modeling of particulate matter concentration through the SPDE approach
M Cameletti, F Lindgren, D Simpson, H Rue
AStA Advances in Statistical Analysis 97, 109-131, 2013
Constructing priors that penalize the complexity of Gaussian random fields
GA Fuglstad, D Simpson, F Lindgren, H Rue
Journal of the American Statistical Association 114 (525), 445-452, 2019
Spatial modeling with R‐INLA: A review
H Bakka, H Rue, GA Fuglstad, A Riebler, D Bolin, J Illian, E Krainski, ...
Wiley Interdisciplinary Reviews: Computational Statistics 10 (6), e1443, 2018
Focus on Sport: Prediction and Retrospective Analysis of Soccer Matches in a League
H Rue, Ø Salvesen
Journal of the Royal Statistical Society Series D: The Statistician 49 (3 …, 2000
Bayesian inference for generalized linear mixed models
Y Fong, H Rue, J Wakefield
Biostatistics 11 (3), 397-412, 2010
Fitting Gaussian Markov random fields to Gaussian fields
H Rue, H Tjelmeland
Scandinavian journal of Statistics 29 (1), 31-49, 2002
Advanced spatial modeling with stochastic partial differential equations using R and INLA
E Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ...
Chapman and Hall/CRC, 2018
Approximate Bayesian inference for hierarchical Gaussian Markov random field models
H Rue, S Martino
Journal of statistical planning and inference 137 (10), 3177-3192, 2007
On block updating in Markov random field models for disease mapping
L Knorr‐Held, H Rue
Scandinavian Journal of Statistics 29 (4), 597-614, 2002
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
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