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Bayesian Methods ; A Social and Behavioral Sciences Approach

By: Language: English Series: Statistics in the Social and Behavioral Sciences Series | Gelman, Andrew (Ed.) | Long, J. Scott (Ed.) | Rabe-Hesketh, Sophia (Ed.) | et alPublication details: Boca Raton, London, New York : Chapman and Hall/CRC, an imprint of the Taylor and Francis Group 2008Edition: 2. EdDescription: xxxvii, 711 ppISBN:
  • 1-58488-562-9
  • 978-1-58488-562-7
Subject(s): DDC classification:
  • 519 Probabilities and applied mathematics
Contents:
from the Table of Contents: Preface; Background and Introduction; Specifying Bayesian Models; The Normal and Student's-t Models; The Bayesian Linear Model; The Bayesian Prior; Assessing Model Quality; Bayesian Hypothesis Testing and the Bayes Factor; Monte Carlo and Related Methods; Basics of Markov Chain Monte Carlo; Bayesian Hierarchical Models; Some Markov Chain Monte Carlo Theory; Utilitarian Markov Chain Monte Carlo; Advanced Markov Chain Monte Carlo; Appendices: Generalized Linear Model Review; Common Probability Distributions; Introduction to the BUGS Language; References; Author Index; Subject Index;
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Loanable Institute for Advanced Studies (IHS) Book 19692-A Available IHS102991601

from the Table of Contents: Preface; Background and Introduction; Specifying Bayesian Models; The Normal and Student's-t Models; The Bayesian Linear Model; The Bayesian Prior; Assessing Model Quality; Bayesian Hypothesis Testing and the Bayes Factor; Monte Carlo and Related Methods; Basics of Markov Chain Monte Carlo; Bayesian Hierarchical Models; Some Markov Chain Monte Carlo Theory; Utilitarian Markov Chain Monte Carlo; Advanced Markov Chain Monte Carlo; Appendices: Generalized Linear Model Review; Common Probability Distributions; Introduction to the BUGS Language; References; Author Index; Subject Index;

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