Håvard Rue

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Finn LindgrenUniversity of EdinburghVerificeret mail på ed.ac.uk
Daniel SimpsonMonash UniversityVerificeret mail på monash.edu
Leonhard HeldProfessor of Biostatistics, University of ZurichVerificeret mail på uzh.ch
Sara MartinoNorwegian University of Science and TechnologyVerificeret mail på ntnu.no
Sigrunn Holbek SørbyeUiT The Arctic University of NorwayVerificeret mail på uit.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayVerificeret mail på math.ntnu.no
Elias Teixeira KrainskiKAUSTVerificeret mail på kaust.edu.sa
Dag MyrhaugDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU)Verificeret mail på ntnu.no
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verificeret mail på ensae.fr
Haakon BakkaPostDoc, University of OsloVerificeret mail på math.uio.no
Virgilio Gómez-RubioAssociate Professor, Universidad de Castilla-La ManchaVerificeret mail på uclm.es
Geir-Arne FuglstadNorwegian University of Science and TechnologyVerificeret mail på ntnu.no
Janet Van NiekerkKAUSTVerificeret mail på kaust.edu.sa
Michela CamelettiUniversità degli studi di BergamoVerificeret mail på unibg.it
Roger BivandNorwegian School of EconomicsVerificeret mail på nhh.no
Arnoldo FrigessiUniversity of OsloVerificeret mail på medisin.uio.no
David BolinKing Abdullah University of Science and TechnologyVerificeret mail på kaust.edu.sa
Daniela Castro-CamiloUniversity of GlasgowVerificeret mail på glasgow.ac.uk
Johan LindströmAssociate Professor of Mathematical Statistics, Centre for Mathematical Sciences, Lund UniversityVerificeret mail på matstat.lu.se
massimo ventrucciUniversity of BolognaVerificeret mail på unibo.it

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Håvard Rue

King Abdullah University of Science and Technology

Verificeret mail på kaust.edu.sa - Startside

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Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	4951	2009
Gaussian Markov random fields: theory and applications H Rue, L Held CRC press, 2005	3254	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	2473	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of statistical software 63, 1-25, 2015	970	2015
Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye	904	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	596	2013
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	573	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	548	2017
Fast sampling of Gaussian Markov random fields H Rue Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	525	2001
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	379	2013
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	338	2016
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	337	2000
Fitting Gaussian Markov random fields to Gaussian fields H Rue, H Tjelmeland Scandinavian journal of Statistics 29 (1), 31-49, 2002	327	2002
Bayesian inference for generalized linear mixed models Y Fong, H Rue, J Wakefield Biostatistics 11 (3), 397-412, 2010	318	2010
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	315	2019
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	279	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	274	2002
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	256	2018
Advanced spatial modeling with stochastic partial differential equations using R and INLA ET Krainski, V Gómez-Rubio, H Bakka, A Lenzi, D Castro-Camilo, ... CRC press, 2018	244	2018
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	236	2016

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