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A unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. This third edition expands the discussion of many of the techniques presented, and includes additional examples as well as exercise sets at the end of each chapter.
  • Genre: Mathematics
  • Pages: 208
  • Author: Martin A. Tanner
  • ISBN: 1461284716
  • Publisher: Springer New York
SeriesSpringer Series in Statistics
Publication DateSeptember 27, 2011

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions

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