Bayesian computing with INLA: New features

Computational Statistics and Data Analysis

Volumn 67, Issue , 2013, Pages 68-83

  Martins, Thiago G ^a   Simpson, Daniel ^a   Lindgren, Finn ^a   Rue, Håvard ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Approximate; Bayesian inference; INLA; Latent Gaussian models

Indexed keywords

APPROXIMATE; APPROXIMATE BAYESIAN INFERENCE; BAYESIAN INFERENCE; GAUSSIAN MODEL; HYPERPARAMETERS; INLA; NUMERICAL INTEGRATIONS; POSTERIOR DISTRIBUTIONS;

INFERENCE ENGINES;

BAYESIAN NETWORKS;

EID: 84878373364     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2013.04.014     Document Type: Article

References (32)

1. L. Beale, S. Hodgson, J. Abellan, S. LeFevre, and L. Jarup Evaluation of spatial relationships between health and the environment: the rapid inquiry facility Environmental Health Perspectives 118 9 2010 1306
2. P. Bessell, L. Matthews, A. Smith-Palmer, O. Rotariu, N. Strachan, K. Forbes, J. Cowden, S. Reid, and G. Innocent Geographic determinants of reported human Campylobacter infections in Scotland BMC Public Health 10 1 2010 423
3. M. Cameletti, F. Lindgren, D. Simpson, and H. Rue Spatio-temporal modeling of particulate matter concentration through the SPDE approach Advances in Statistical Analysis 97 2 2012 109 131
4. B. Cseke, and T. Heskes Approximate marginals in latent Gaussian models Journal of Machine Learning Research 12 2011 417 454
5. P. Diggle, R. Menezes, and T. Su Geostatistical inference under preferential sampling Journal of the Royal Statistical Society: Series C (Applied Statistics) 59 2 2010 191 232
6. J. Eidsvik, A. Finley, S. Banerjee, and H. Rue Approximate Bayesian inference for large spatial datasets using predictive process models Computational Statistics & Data Analysis 2011
7. J. Eidsvik, S. Martino, and H. Rue Approximate Bayesian inference in spatial generalized linear mixed models Scandinavian Journal of Statistics 36 1 2009 1 22
8. Y. Fong, H. Rue, and J. Wakefield Bayesian inference for generalized linear mixed models Biostatistics 11 3 2010 397 412
9. X. Guo, and B. Carlin Separate and joint modeling of longitudinal and event time data using standard computer packages The American Statistician 58 1 2004 16 24 (Pubitemid 38260325)
10. S. Haas, M. Hooten, D. Rizzo, and R. Meentemeyer Forest species diversity reduces disease risk in a generalist plant pathogen invasion Ecology Letters 2011
11. Holand, A., Steinsland, I., Martino, S., Jensen, H., 2011. Animal models and integrated nested Laplace approximations. Statistics (4), Preprint.
12. F. Hosseini, J. Eidsvik, and M. Mohammadzadeh Approximate Bayesian inference in spatial glmm with skew normal latent variables Computational Statistics & Data Analysis 55 4 2011 1791 1806
13. J. Illian, S. Soerbye, and H. Rue A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (inla) Annals of Applied Statistics 2011
14. D. Johnson, J. London, and C. Kuhn Bayesian inference for animal space use and other movement metrics Journal of Agricultural, Biological, and Environmental Statistics 16 3 2011 357 370
15. Y. Li, P. Brown, H. Rue, M. al Maini, and P. Fortin Spatial modelling of lupus incidence over 40 years with changes in census areas Journal of the Royal Statistical Society: Series C (Applied Statistics) 2011
16. F. Lindgren, H. Rue, and J. Lindström An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach Journal of the Royal Statistical Society: Series B (Statistical Methodology) 73 4 2011 423 498
17. S. Martino, K. Aas, O. Lindqvist, L. Neef, and H. Rue Estimating stochastic volatility models using integrated nested Laplace approximations The European Journal of Finance 17 7 2011 487 503
18. S. Martino, R. Akerkar, and H. Rue Approximate Bayesian inference for survival models Scandinavian Journal of Statistics 38 3 2011 514 528
19. T. Martins, and H. Rue Extending INLA to a Class of Near-Gaussian Latent Models 2012 Department of Mathematical Sciences NTNU, Norway
20. M. Paul, A. Riebler, L. Bachmann, H. Rue, and L. Held Bayesian bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximations Statistics in Medicine 29 12 2010 1325 1339
21. H. Rue, and L. Held Gaussian Markov Random Fields: Theory and Applications 2005 Chapman & Hall
22. H. Rue, and S. Martino Approximate Bayesian inference for hierarchical Gaussian Markov random field models Journal of Statistical Planning and Inference 137 10 2007 3177 3192
23. H. Rue, S. Martino, and N. Chopin Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations Journal of the Royal Statistical Society: Series B(Statistical Methodology) 71 2 2009 319 392
24. R. Ruiz-Cárdenas, E. Krainski, and H. Rue Direct fitting of dynamic models using integrated nested Laplace approximations - inla Computational Statistics & Data Analysis 2011
25. B. Schrödle, and L. Held Spatio-temporal disease mapping using inla Environmetrics 22 6 2011 725 734
26. B. Schrödle, L. Held, A. Riebler, and J. Danuser Using integrated nested Laplace approximations for the evaluation of veterinary surveillance data from Switzerland: a case-study Journal of the Royal Statistical Society: Series C (Applied Statistics) 60 2 2011 261 279
27. D. Spiegelhalter, N. Best, B. Carlin, and A. Van Der Linde Bayesian measures of model complexity and fit Journal of the Royal Statistical Society: Series B (Statistical Methodology) 64 4 2002 583 639
28. S. Sørbye, and H. Rue Simultaneous credible bands for latent Gaussian models Scandinavian Journal of Statistics 2010
29. L. Tierney, and J. Kadane Accurate approximations for posterior moments and marginal densities Journal of the American Statistical Association 1986 82 86
30. H. Wilking, M. Höhle, E. Velasco, M. Suckau, E. Tim, J. Salinas-Perez, C. Garcia-Alonso, C. Molina-Parrilla, E. Jorda-Sampietro, and L. Salvador-Carulla Ecological analysis of social risk factors for rotavirus infections in Berlin, Germany, 2007-2009 International Journal of Health Geographics 11 1 2012 37
31. J. Wyse, N. Friel, and H. Rue Approximate simulation-free Bayesian inference for multiple changepoint models with dependence within segments Bayesian Analysis 6 4 2011 501 528
32. Y. Yue, and H. Rue Bayesian inference for additive mixed quantile regression models Computational Statistics & Data Analysis 55 1 2011 84 96