50 citations · 90 across the 22 of their papers we have counts for
5 papers · 1 filter
Bayesian Inference for Multivariate Spatial Models with R-INLA
Francisco Palmí-Perales, Virgilio Gómez-Rubio, Roger S Bivand +2
Bayesian methods and software for spatial data analysis are generally now well established in the scientific community. Despite the wide application of spatial models, the analysis…
Bayesian survival analysis with INLA
Danilo Alvares, Janet van Niekerk, Elias Teixeira Krainski +2
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the IN…
Fitting latent non-Gaussian models using variational Bayes and Laplace approximations
Rafael Cabral, David Bolin, Håvard Rue
Latent Gaussian models (LGMs) are perhaps the most commonly used class of models in statistical applications. Nevertheless, in areas ranging from longitudinal studies in biostatist…
Controlling the flexibility of non-Gaussian processes through shrinkage priors
Rafael Cabral, David Bolin, Håvard Rue
The normal inverse Gaussian (NIG) and generalized asymmetric Laplace (GAL) distributions can be seen as skewed and semi-heavy-tailed extensions of the Gaussian distribution. Models…
Joint Quantile Disease Mapping with Application to Malaria and G6PD Deficiency
Hanan Alahmadi, Håvard Rue, Janet van Niekerk
Statistical analysis based on quantile regression methods is more comprehensive, flexible, and less sensitive to outliers when compared to mean regression methods. When the link be…