Bayesian Statistics: An Introduction

Bayesian Statistics: An Introduction

Peter M. Lee

Bayesian records is the college of proposal that mixes past ideals with the chance of a speculation to reach at posterior ideals. the 1st variation of Peter Lee’s publication seemed in 1989, however the topic has moved ever onwards, with expanding emphasis on Monte Carlo dependent techniques.

This new fourth variation seems at contemporary options reminiscent of variational equipment, Bayesian significance sampling, approximate Bayesian computation and Reversible bounce Markov Chain Monte Carlo (RJMCMC), delivering a concise account of ways during which the Bayesian method of data develops in addition to the way it contrasts with the traditional strategy. the speculation is outfitted up step-by-step, and critical notions equivalent to sufficiency are introduced out of a dialogue of the salient positive factors of particular examples.

This edition:

  • Includes accelerated assurance of Gibbs sampling, together with extra numerical examples and coverings of OpenBUGS, R2WinBUGS and R2OpenBUGS.
  • Presents major new fabric on fresh concepts reminiscent of Bayesian value sampling, variational Bayes, Approximate Bayesian Computation (ABC) and Reversible leap Markov Chain Monte Carlo (RJMCMC).
  • Provides wide examples in the course of the e-book to counterpoint the idea presented.
  • Accompanied by way of a assisting web site that includes new fabric and solutions.

More and extra scholars are understanding that they should research Bayesian facts to satisfy their educational targets. This e-book is most suitable to be used as a prime textual content in classes on Bayesian information for 3rd and fourth yr undergraduates and postgraduate students.

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