Håvard Rue

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Finn LindgrenUniversity of EdinburghE-mail confirmado em ed.ac.uk
Daniel SimpsonNormal ComputingE-mail confirmado em normalcomputing.ai
Leonhard HeldProfessor of Biostatistics, University of ZurichE-mail confirmado em uzh.ch
Sara MartinoNorwegian University of Science and TechnologyE-mail confirmado em ntnu.no
Sigrunn Holbek SørbyeUiT The Arctic University of NorwayE-mail confirmado em uit.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayE-mail confirmado em math.ntnu.no
Elias Teixeira KrainskiKAUSTE-mail confirmado em kaust.edu.sa
Janine B IllianUniversity of Glasgow, UKE-mail confirmado em glasgow.ac.uk
Dag MyrhaugDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU)E-mail confirmado em ntnu.no
Haakon BakkaPostDoc, University of OsloE-mail confirmado em math.uio.no
Janet Van NiekerkKAUSTE-mail confirmado em kaust.edu.sa
Virgilio Gómez-RubioProfessor, Universidad de Castilla-La ManchaE-mail confirmado em uclm.es
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)E-mail confirmado em ensae.fr
Geir-Arne FuglstadNorwegian University of Science and TechnologyE-mail confirmado em ntnu.no
David BolinKing Abdullah University of Science and TechnologyE-mail confirmado em kaust.edu.sa
Michela CamelettiUniversità degli studi di BergamoE-mail confirmado em unibg.it
massimo ventrucciUniversity of BolognaE-mail confirmado em unibo.it
Roger BivandNorwegian School of EconomicsE-mail confirmado em nhh.no
Arnoldo FrigessiUniversity of OsloE-mail confirmado em medisin.uio.no
Daniela Castro-CamiloUniversity of GlasgowE-mail confirmado em glasgow.ac.uk

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Håvard Rue

King Abdullah University of Science and Technology

E-mail confirmado em kaust.edu.sa - Página inicial

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Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	5924	2009
Gaussian Markov random fields: theory and applications H Rue, L Held Chapman and Hall/CRC, 2005	3666	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	3038	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of statistical software 63 (19), 2015	1293	2015
Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye	1197	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	776	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	719	2013
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	686	2013
Fast sampling of Gaussian Markov random fields H Rue Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	558	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	462	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	436	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	418	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	385	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	365	2000
Bayesian inference for generalized linear mixed models Y Fong, H Rue, J Wakefield Biostatistics 11 (3), 397-412, 2010	363	2010
Fitting Gaussian Markov random fields to Gaussian fields H Rue, H Tjelmeland Scandinavian journal of Statistics 29 (1), 31-49, 2002	345	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	338	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	316	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	292	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	280	2016

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