A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)

A toolbox for fitting complex spatial point process models using integrated Laplace transformation (INLA)

Fitting dynamic models using integrated nested Laplace approximations - INLA

In this paper we propose a computational framework to perform approximate Bayesian inference in linear and generalized linear dynamic models based on the Integrated Nested Laplace Approximation (INLA) approach, which overcomes some limitations of computational tools presently available in the dynamic modeling literature. We show how to formulate specific latent models in a state-space form, eve...

Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program

This manual describes the inla program, a new instrument which allows the user to easily perform approximate Bayesian inference using integrated nested Laplace approximation (INLA). We describe the set of models which can be solved by the inla program and provide a series of worked out examples illustrating its usage in details. Appendix A contains a reference manual for the inla program. This ...

NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET Implementing Approximate Bayesian Inference using Integrated Nested Laplace Approximation: a manual for the inla program

This manual describes the inla program, a new instrument which allows the user to easily perform approximate Bayesian inference using integrated nested Laplace approximation (INLA). We describe the set of models which can be solved by the inla program and provide a series of worked out examples illustrating its usage in details. Appendix A contains a reference manual for the inla program. This ...

Integrated Nested Laplace Approximation for Bayesian Nonparametric Phylodynamics

The goal of phylodynamics, an area on the intersection of phylogenetics and population genetics, is to reconstruct population size dynamics from genetic data. Recently, a series of nonparametric Bayesian methods have been proposed for such demographic reconstructions. These methods rely on prior specifications based on Gaussian processes and proceed by approximating the posterior distribution o...