Håvard Rue

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Coauteurs

Finn LindgrenUniversity of EdinburghAdresse e-mail validée de ed.ac.uk
Daniel SimpsonNormal ComputingAdresse e-mail validée de normalcomputing.ai
Sara MartinoNorwegian University of Science and TechnologyAdresse e-mail validée de ntnu.no
Leonhard HeldProfessor of Biostatistics, University of ZurichAdresse e-mail validée de uzh.ch
Sigrunn Holbek SørbyeUiT The Arctic University of NorwayAdresse e-mail validée de uit.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayAdresse e-mail validée de math.ntnu.no
Elias Teixeira KrainskiKAUSTAdresse e-mail validée de kaust.edu.sa
Janine B IllianUniversity of Glasgow, UKAdresse e-mail validée de glasgow.ac.uk
Dag MyrhaugDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU)Adresse e-mail validée de ntnu.no
Haakon BakkaPostDoc, University of OsloAdresse e-mail validée de math.uio.no
Janet Van NiekerkKAUSTAdresse e-mail validée de kaust.edu.sa
Virgilio Gómez-RubioProfessor, Universidad de Castilla-La ManchaAdresse e-mail validée de uclm.es
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Adresse e-mail validée de ensae.fr
Geir-Arne FuglstadNorwegian University of Science and TechnologyAdresse e-mail validée de ntnu.no
David BolinKing Abdullah University of Science and TechnologyAdresse e-mail validée de kaust.edu.sa
Michela CamelettiUniversità degli studi di BergamoAdresse e-mail validée de unibg.it
massimo ventrucciUniversity of BolognaAdresse e-mail validée de unibo.it
Roger BivandNorwegian School of EconomicsAdresse e-mail validée de nhh.no
Arnoldo FrigessiUniversity of OsloAdresse e-mail validée de medisin.uio.no
Daniela Castro-CamiloUniversity of GlasgowAdresse e-mail validée de glasgow.ac.uk

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Håvard Rue

King Abdullah University of Science and Technology

Adresse e-mail validée de kaust.edu.sa - Page d'accueil

Statistics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	6024	2009
Gaussian Markov random fields: theory and applications H Rue, L Held Chapman and Hall/CRC, 2005	3701	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	3101	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of statistical software 63 (19), 2015	1325	2015
Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye	1228	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	799	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	731	2013
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	699	2013
Fast sampling of Gaussian Markov random fields H Rue Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	561	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	473	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	438	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	426	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	394	2018
Bayesian inference for generalized linear mixed models Y Fong, H Rue, J Wakefield Biostatistics 11 (3), 397-412, 2010	370	2010
Prediction and retrospective analysis of soccer matches in a league H Rue, O Salvesen Journal of the Royal Statistical Society: Series D (The Statistician) 49 (3 …, 2000	370	2000
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	347	2018
Fitting Gaussian Markov random fields to Gaussian fields H Rue, H Tjelmeland Scandinavian journal of Statistics 29 (1), 31-49, 2002	347	2002
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	319	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	296	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	283	2016

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