Using Gibbs Samplers to Compute Bayesian Posterior Distributions

Part of the Use R book series (USE R, volume 0)


In Chapter 8, we introduced the fundamental ideas of Bayesian inference, in which prior distributions on parameters are used together with data to obtain posterior distributions and thus interval estimates of parameters. However, in practice, Bayesian posterior distributions are often difficult to compute.


Posterior Distribution Prior Distribution Gibbs Sampler Bayesian Estimate Interval Estimate 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of Statistics and BiostatisticsCalifornia State University, East BayHaywardUSA

Personalised recommendations