Using WinBUGS for Bayesian Estimation

  • Eric A. Suess
  • Bruce E. Trumbo
Part of the Use R book series (USE R, volume 0)


Historically, an important roadblock to using Bayesian inference has been the difficulty of computing posterior distributions of parameters. Thus, a major focus of this book is to show how such computations can be done using modern hardware and software.


Gibbs Sampler Bayesian Estimation Conditional Posterior Distribution Simulated Chain Special Education Student 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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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