Description

  1. A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material.

  2. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

  3. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

A First Course in Bayesian Statistical Methods

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£64.99

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Hardback by Peter D. Hoff

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Short Description:

A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with... Read more

    Publisher: Springer-Verlag New York Inc.
    Publication Date: 14/07/2009
    ISBN13: 9780387922997, 978-0387922997
    ISBN10: 0387922997

    Number of Pages: 271

    Non Fiction , Mathematics & Science , Education

    Description

    1. A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material.

    2. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

    3. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

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