Using Gibbs Samplers to Compute Bayesian Posterior Distributions

  • Eric A. Suess
  • Bruce E. Trumbo
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 
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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

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

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