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1-3 of 3 results for Author: andrew gelman (sorted by Publication Date, showing all)
  1. Bayesian Data Analysis, Third Edition

    By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This third edition of a classic textbook presents a comprehensive introduction to Bayesian data analysis. Written for students and researchers alike, the text is written in an easily accessible manner with chapters that contain many exercises as well as detailed worked examples taken from various...

    To Be Published November 25th 2013 by Chapman and Hall/CRC

  2. Handbook of Markov Chain Monte Carlo

    Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

    Published May 9th 2011 by Chapman and Hall/CRC

  3. Bayesian Data Analysis, Second Edition

    By Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide...

    Published July 28th 2003 by Chapman and Hall/CRC

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