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Introduction to Bayesian Estimation

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

Abstract

The rest of this book deals with Bayesian estimation. This chapter uses examples to illustrate the fundamental concepts of Bayesian point and interval estimation. It also provides an introduction to Chapters 9 and 10, where more advanced examples require computationally intensive methods.

Keywords

Posterior Distribution Prior Distribution Beta Distribution Bayesian Estimation Posterior Density 
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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