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Bayesian Inference

  • Bing LiEmail author
  • G. Jogesh Babu
Chapter
  • 2k Downloads
Part of the Springer Texts in Statistics book series (STS)

Abstract

Bayesian methods for statistical inference, including estimation, testing, and classification, are developed in this chapter. These are formulated as decision theoretic problems described in Chapter  5, with different parameter spaces, action spaces, and loss functions. Some important special topics in Bayesian analysis, such as empirical Bayes and Stein’s estimator are also explored.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of StatisticsPenn State UniversityUniversity ParkUSA

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