Rapporto tecnico, 2013, ENG

A Lightweight Guide on Gibbs Sampling and JAGS

Coro G.

CNR-ISTI, Pisa, Italy.

In this document we give some insight about how Gibbs Sampling works and how the JAGS modelling framework implements it. The hope is that, once the reader will have understood these concepts, building a model to perform Bayesian Inference with JAGS should be much easier or, at least, the reader should be more aware of what happens behind the scenes. We assume the reader to have basic knowledge about probability, sucient to understand the dierence between a probability and a probability density.

Keywords

Gibbs sampling, Statistics, Software/Program Verification, Markov Chain Monte Carlo

CNR authors

Coro Gianpaolo

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 272921

Year: 2013

Type: Rapporto tecnico

Creation: 2013-12-05 18:41:24.000

Last update: 2020-12-24 10:49:08.000

CNR authors

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:272921