Spatio‐temporal disease mapping using INLA
- 18 November 2010
- journal article
- research article
- Published by Wiley in Environmetrics
- Vol. 22 (6) , 725-734
- https://doi.org/10.1002/env.1065
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Approximate Bayesian Inference for Survival ModelsScandinavian Journal of Statistics, 2010
- Using Integrated Nested Laplace Approximations for the Evaluation of Veterinary Surveillance Data from Switzerland: A Case-StudyJournal of the Royal Statistical Society Series C: Applied Statistics, 2010
- Strictly Proper Scoring Rules, Prediction, and EstimationJournal of the American Statistical Association, 2007
- Simultaneous Posterior Probability Statements From Monte Carlo OutputJournal of Computational and Graphical Statistics, 2004
- Bayesian Measures of Model Complexity and FitJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002
- Diffusion and prediction of Leishmaniasis in a large metropolitan area in Brazil with a Bayesian space–time modelStatistics in Medicine, 2001
- Hierarchical Spatio-Temporal Mapping of Disease RatesJournal of the American Statistical Association, 1997
- Hierarchical Spatio-Temporal Mapping of Disease RatesJournal of the American Statistical Association, 1997
- Accurate Approximations for Posterior Moments and Marginal DensitiesJournal of the American Statistical Association, 1986
- Accurate Approximations for Posterior Moments and Marginal DensitiesJournal of the American Statistical Association, 1986