Articles with public access mandates - Håvard RueLearn more
Not available anywhere: 2
Scaling intrinsic Gaussian Markov random field priors in spatial modelling
SH Sørbye, H Rue
Spatial Statistics 8, 39-51, 2014
Mandates: John D. and Catherine T. MacArthur Foundation
Joint spatial analysis of gastrointestinal infectious diseases
L Held, G Graziano, C Frank, H Rue
Statistical methods in medical research 15 (5), 465-480, 2006
Mandates: German Research Foundation
Available somewhere: 53
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
Mandates: Fondazione Cariplo
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
Mandates: Research Council of Norway
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
Mandates: Research Council of Norway
Bayesian inference for generalized linear mixed models
Y Fong, H Rue, J Wakefield
Biostatistics 11 (3), 397-412, 2010
Mandates: US National Institutes of Health
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
Mandates: US National Science Foundation, John D. and Catherine T. MacArthur …
Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study
R Lowe, SA Lee, KM O'Reilly, OJ Brady, L Bastos, G Carrasco-Escobar, ...
The Lancet Planetary Health 5 (4), e209-e219, 2021
Mandates: US National Institutes of Health, UK Medical Research Council, UK Natural …
Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales
Y Yuan, FE Bachl, F Lindgren, DL Borchers, JB Illian, ST Buckland, H Rue, ...
Mandates: US National Oceanic and Atmospheric Administration, UK Engineering and …
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
F Lindgren, D Bolin, H Rue
Spatial Statistics 50, 100599, 2022
Mandates: European Commission
Approximate Bayesian inference for large spatial datasets using predictive process models
J Eidsvik, AO Finley, S Banerjee, H Rue
Computational Statistics & Data Analysis 56 (6), 1362-1380, 2012
Mandates: US National Institutes of Health
Estimation and extrapolation of time trends in registry data—borrowing strength from related populations
A Riebler, L Held, H Rue
The Annals of Applied Statistics, 304-333, 2012
Mandates: Swiss National Science Foundation
Markov chain Monte Carlo with the integrated nested Laplace approximation
V Gómez-Rubio, H Rue
Statistics and Computing 28, 1033-1051, 2018
Mandates: Government of Spain
Approximate Bayesian inference for spatial econometrics models
RS Bivand, V Gómez-Rubio, H Rue
Spatial Statistics 9, 146-165, 2014
Mandates: Government of Spain
A note on intrinsic conditional autoregressive models for disconnected graphs
A Freni-Sterrantino, M Ventrucci, H Rue
Spatial and spatio-temporal epidemiology 26, 25-34, 2018
Mandates: Government of Italy
Log Gaussian Cox processes and spatially aggregated disease incidence data
Y Li, P Brown, DC Gesink, H Rue
Statistical methods in medical research 21 (5), 479-507, 2012
Mandates: US National Institutes of Health
Bayesian penalized spline models for the analysis of spatio‐temporal count data
C Bauer, J Wakefield, H Rue, S Self, Z Feng, Y Wang
Statistics in medicine 35 (11), 1848-1865, 2016
Mandates: US National Institutes of Health
Improving the INLA approach for approximate Bayesian inference for latent Gaussian models
E Ferkingstad, H Rue
Mandates: Research Council of Norway
Estimating spatial econometrics models with integrated nested Laplace approximation
V Gómez-Rubio, RS Bivand, H Rue
Mathematics 9 (17), 2044, 2021
Mandates: Government of Spain
Careful prior specification avoids incautious inference for log-Gaussian Cox point processes
SH S⊘ rbye, JB Illian, DP Simpson, D Burslem, H Rue
Journal of the Royal Statistical Society Series C: Applied Statistics 68 (3 …, 2019
Mandates: US National Science Foundation
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