Håvard Rue

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Citations	18396	11219
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Finn LindgrenUniversity of EdinburghVerified email at ed.ac.uk
Daniel SimpsonUniversity of TorontoVerified email at utstat.toronto.edu
Leonhard HeldProfessor of Biostatistics, University of ZurichVerified email at uzh.ch
Sara MartinoNorwegian University of Science and TechnologyVerified email at ntnu.no
Sigrunn Holbek SørbyeUiT The Arctic University of NorwayVerified email at uit.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayVerified email at math.ntnu.no
Dag MyrhaugDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Elias Teixeira KrainskiKAUSTVerified email at ufpr.br
Haakon BakkaPostDoc, University of OsloVerified email at math.uio.no
Virgilio Gómez-RubioAssociate Professor, Universidad de Castilla-La ManchaVerified email at uclm.es
Geir-Arne FuglstadNorwegian University of Science and TechnologyVerified email at ntnu.no
Michela CamelettiUniversità degli studi di BergamoVerified email at unibg.it
Roger BivandNorwegian School of EconomicsVerified email at nhh.no
Arnoldo FrigessiUniversity of OsloVerified email at medisin.uio.no
Johan LindströmAssociate Professor of Mathematical Statistics, Centre for Mathematical Sciences, Lund UniversityVerified email at matstat.lu.se
Merrilee HurnUniversity of BathVerified email at bath.ac.uk
Marta BlangiardoProfessor of Biostatistics, MRC Centre for Environment and Health, Imperial CollegeVerified email at imperial.ac.uk
Lars Erik HolmedalProfessor, Department of Marine Technology, NTNUVerified email at ntnu.no
Yu (Ryan) YueBaruch College, The City University of New YorkVerified email at baruch.cuny.edu

Håvard Rue

King Abdullah University of Science and Technology

Verified email at kaust.edu.sa - Homepage

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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	3576	2009
Gaussian Markov random fields: theory and applications H Rue, L Held CRC press, 2005	2602	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	1720	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of Statistical Software 63 (19), 1-25, 2015	542	2015
Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye Statistical science, 1-28, 2017	477	2017
Fast sampling of Gaussian Markov random fields H Rue Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	460	2001
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	406	2013
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	401	2013
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	298	2017
Fitting Gaussian Markov random fields to Gaussian fields H Rue, H Tjelmeland Scandinavian journal of Statistics 29 (1), 31-49, 2002	296	2002
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 (2), 109-131, 2013	294	2013
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	291	2000
Bayesian inference for generalized linear mixed models Y Fong, H Rue, J Wakefield Biostatistics 11 (3), 397-412, 2010	265	2010
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	256	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	233	2007
A dynamic mixture model for unsupervised tail estimation without threshold selection A Frigessi, O Haug, H Rue Extremes 5 (3), 219-235, 2002	181	2002
Towards joint disease mapping L Held, I Natário, SE Fenton, H Rue, N Becker Statistical methods in medical research 14 (1), 61-82, 2005	178	2005
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	174	2016
Posterior and cross-validatory predictive checks: a comparison of MCMC and INLA L Held, B Schrödle, H Rue Statistical modelling and regression structures, 91-110, 2010	171	2010
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	170	2012

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