Håvard Rue

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Finn LindgrenUniversity of EdinburghPatvirtintas el. paštas ed.ac.uk
Daniel SimpsonNormal ComputingPatvirtintas el. paštas normalcomputing.ai
Leonhard HeldProfessor of Biostatistics, University of ZurichPatvirtintas el. paštas uzh.ch
Sara MartinoNorwegian University of Science and TechnologyPatvirtintas el. paštas ntnu.no
Sigrunn Holbek SørbyeUiT The Arctic University of NorwayPatvirtintas el. paštas uit.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayPatvirtintas el. paštas math.ntnu.no
Elias Teixeira KrainskiKAUSTPatvirtintas el. paštas kaust.edu.sa
Janine B IllianUniversity of Glasgow, UKPatvirtintas el. paštas glasgow.ac.uk
Dag MyrhaugDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU)Patvirtintas el. paštas ntnu.no
Haakon BakkaPostDoc, University of OsloPatvirtintas el. paštas math.uio.no
Janet Van NiekerkKAUSTPatvirtintas el. paštas kaust.edu.sa
Virgilio Gómez-RubioProfessor, Universidad de Castilla-La ManchaPatvirtintas el. paštas uclm.es
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Patvirtintas el. paštas ensae.fr
Geir-Arne FuglstadNorwegian University of Science and TechnologyPatvirtintas el. paštas ntnu.no
David BolinKing Abdullah University of Science and TechnologyPatvirtintas el. paštas kaust.edu.sa
Michela CamelettiUniversità degli studi di BergamoPatvirtintas el. paštas unibg.it
massimo ventrucciUniversity of BolognaPatvirtintas el. paštas unibo.it
Roger BivandNorwegian School of EconomicsPatvirtintas el. paštas nhh.no
Arnoldo FrigessiUniversity of OsloPatvirtintas el. paštas medisin.uio.no
Daniela Castro-CamiloUniversity of GlasgowPatvirtintas el. paštas glasgow.ac.uk

Stebėti

Håvard Rue

King Abdullah University of Science and Technology

Patvirtintas el. paštas kaust.edu.sa - Pagrindinis puslapis

Statistics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	5910	2009
Gaussian Markov random fields: theory and applications H Rue, L Held Chapman and Hall/CRC, 2005	3657	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	3027	2011
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of statistical software 63 (19), 2015	1288	2015
Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye	1192	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	771	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	718	2013
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	683	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	460	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	435	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	384	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	364	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	335	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	314	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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