Håvard Rue

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Finn LindgrenUniversity of EdinburghVerified email at ed.ac.uk
Daniel SimpsonMonash UniversityVerified email at monash.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
Haakon BakkaPostDoc, University of OsloVerified email at math.uio.no
Elias Teixeira KrainskiKAUSTVerified email at ufpr.br
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
Daniela Castro-CamiloUniversity of GlasgowVerified email at glasgow.ac.uk
Lars Erik HolmedalProfessor, Department of Marine Technology, NTNUVerified email at ntnu.no

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	3657	2009
Gaussian Markov random fields: theory and applications H Rue, L Held CRC press, 2005	2642	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	1766	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of Statistical Software 63 (19), 1-25, 2015	561	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	500	2017
Fast sampling of Gaussian Markov random fields H Rue Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	464	2001
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	415	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	412	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	311	2017
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	299	2013
Fitting Gaussian Markov random fields to Gaussian fields H Rue, H Tjelmeland Scandinavian journal of Statistics 29 (1), 31-49, 2002	299	2002
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	292	2000
Bayesian inference for generalized linear mixed models Y Fong, H Rue, J Wakefield Biostatistics 11 (3), 397-412, 2010	270	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	235	2007
A dynamic mixture model for unsupervised tail estimation without threshold selection A Frigessi, O Haug, H Rue Extremes 5 (3), 219-235, 2002	184	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	180	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	177	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	174	2012
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	172	2010

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