Bayesian Analysis for the Social Sciences
Jackman, Simon
Department of Political Science, Stanford University, USA
creator
text
Chichester
John Wiley and Sons
2009
1. Ed.
monographic
eng
xxxiv, 564 pp.
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;
Social sciences -- Statistical methods
Bayesian statistical decision theory
519 Probabilities and applied mathematics
978-0-470-01154-6
http://books.google.com/books?id=QFqyrNL8yEkC&printsec=frontcover
http://books.google.com/books?id=QFqyrNL8yEkC&printsec=frontcover
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