11 citations · 16 across the 6 of their papers we have counts for
4 papers · 1 filter
Bayesian Multivariate Spatial Models for Lattice Data with INLA
Francisco Palmi-Perales, Virgilio Gomez-Rubio, Miguel A. Martinez-Beneito
The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with package INLA for Bayesian inference.…
Mixture model fitting using conditional models and modal Gibbs sampling
Héctor Gómez-López, Virgilio Gómez-Rubio
Mixture models are a convenient way of modeling data using a convex combination of different parametric distributions. A new algorithm based on Gibbs sampling is used to approximat…
Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation
Virgilio Gomez-Rubio, Roger S. Bivand, Håvard Rue
Integrated Nested Laplace Approximation provides a fast and effective method for marginal inference on Bayesian hierarchical models. This methodology has been implemented in the R-…
Markov Chain Monte Carlo with the Integrated Nested Laplace Approximation
Virgilio Gómez-Rubio, Håvard Rue
The Integrated Nested Laplace Approximation (INLA) has established itself as a widely used method for approximate inference on Bayesian hierarchical models which can be represented…