Håvard Rue - Google Scholar Citations

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	All	Since 2014
Citations	13559	9037
h-index	48	39
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Co-authors

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 MartinoSintef Energy ResearchVerified email at sintef.no
Dag MyrhaugDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Andrea RieblerDepartment of Mathematical Sciences, NTNU, Trondheim, NorwayVerified email at math.ntnu.no
Nicolas ChopinProfessor of Statistics, CREST (ENSAE)Verified email at ensae.fr
Elias Teixeira KrainskiUFPRVerified email at ufpr.br
Michela CamelettiUniversità degli studi di BergamoVerified email at unibg.it
Geir-Arne FuglstadNorwegian University of Science and TechnologyVerified email at ntnu.no
Virgilio Gómez-RubioAssociate Professor, Universidad de Castilla-La ManchaVerified email at uclm.es
Arnoldo FrigessiUniversity of OsloVerified email at medisin.uio.no
Haakon BakkaPostDoc, KAUSTVerified email at kaust.edu.sa
Roger BivandNorwegian School of EconomicsVerified email at nhh.no
Johan LindströmAssociate Professor of Mathematical Statistics, Centre for Mathematical Sciences, Lund UniversityVerified email at maths.lth.se
Merrilee HurnUniversity of BathVerified email at bath.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
Jon WakefieldProfessor statistics biostatistics university of washingtonVerified email at uw.edu
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie

Håvard Rue

King Abdullah University of Science and Technology

Verified email at kaust.edu.sa - Homepage

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Title	Cited by	Year
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	2591	2009
Gaussian Markov random fields: theory and applications H Rue, L Held Chapman and Hall/CRC, 2005	2077	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	1188	2011
Fast sampling of Gaussian Markov random fields H Rue Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	417	2001
Bayesian spatial modelling with R-INLA F Lindgren, H Rue Journal of Statistical Software 63 (19), 1-25, 2015	313	2015
Bayesian computing with INLA: new features TG Martins, D Simpson, F Lindgren, H Rue Computational Statistics & Data Analysis 67, 68-83, 2013	272	2013
Fitting Gaussian Markov random fields to Gaussian fields H RUE, H Tjelmeland Scandinavian journal of Statistics 29 (1), 31-49, 2002	269	2002
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	262	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	239	2000
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	232	2002
Penalising model component complexity: A principled, practical approach to constructing priors D Simpson, H Rue, A Riebler, TG Martins, SH Sørbye Statistical science 32 (1), 1-28, 2017	227	2017
Bayesian inference for generalized linear mixed models Y Fong, H Rue, J Wakefield Biostatistics 11 (3), 397-412, 2010	225	2010
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	220	2013
Approximate Bayesian inference for hierarchical Gaussian Markov random field models HÅ Rue, S Martino Journal of statistical planning and inference 137 (10), 3177-3192, 2007	192	2007
Towards joint disease mapping L Held, I Natário, SE Fenton, H Rue, N Becker Statistical methods in medical research 14 (1), 61-82, 2005	154	2005
A dynamic mixture model for unsupervised tail estimation without threshold selection A Frigessi, O Haug, H Rue Extremes 5 (3), 219-235, 2002	152	2002
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	139	2017
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	129	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	128	2010
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	117	2016

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