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Bayesian Analysis for the Social Sciences

By: Language: English Series: Wiley Series in Probability and Statistics | Balding, David J. (Ed.) | Cressie, Noel A.C. (Ed.) | Fitzmaurice, Garrett M. (Ed.) | et alPublication details: Chichester : John Wiley and Sons 2009Edition: 1. EdDescription: xxxiv, 564 ppISBN:
  • 978-0-470-01154-6
Subject(s): DDC classification:
  • 519 Probabilities and applied mathematics
Online resources:
Contents:
from the Table of Contents: Preface; Acknowledgments; Introduction; Introducing Bayesian Analysis: The foundations of Bayesian inference; Getting started. Bayesian analysis for simple models; Simulation Based Bayesian Analysis: Monte Carlo methods; Markov chains; Markov chain Monte Carlo; Implementing Markov chain Monte Carlo; Advanced Applications in the Social Sciences: Hierarchical Statistical Models; Bayesian analysis of choice making; Bayesian approaches to measurement; Appendices: Working with vectors and matrices; Probability review; Proofs of selected propositions;
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Loanable Institute for Advanced Studies (IHS) Book 20260-A Available IHS103169702

from the Table of Contents: Preface; Acknowledgments; Introduction; Introducing Bayesian Analysis: The foundations of Bayesian inference; Getting started. Bayesian analysis for simple models; Simulation Based Bayesian Analysis: Monte Carlo methods; Markov chains; Markov chain Monte Carlo; Implementing Markov chain Monte Carlo; Advanced Applications in the Social Sciences: Hierarchical Statistical Models; Bayesian analysis of choice making; Bayesian approaches to measurement; Appendices: Working with vectors and matrices; Probability review; Proofs of selected propositions;

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