Bayesian Core: A Practical Approach to Computational Bayesian Statistics
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from th
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Stephen Fienberg
Ingram Olkin
Springer Texts in Statistics Athreya/Lahiri: Measure Theory and Probability Theory Bilodeau/Brenner: Theory of Multivariate Statistics Brockwell/Davis: An Introduction to Time Series and Forecasting Carmona: Statistical Analysis of Financial Data in S-PLUS Chow/Teicher: Probability Theory: Independence, Interchangeability, Martingales, Third Edition Christensen: Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization, Second Edition Christensen: Log-Linear Models and Logistic Regression, Second Edition Christensen: Plane Answers to Complex Questions: The Theory of Linear Models, Second Edition Davis: Statistical Methods for the Analysis of Repeated Measurements Dean/Voss: Design and Analysis of Experiments Dekking/Kraaikamp/Lopuhaä/Meester: A Modern Introduction to Probability and Statistics Durrett: Essentials of Stochastic Processes Edwards: Introduction to Graphical Modeling, Second Edition Everitt: An R and S-PLUS Companion to Multivariate Analysis Ghosh/Delampady/Samanta: An Introduction to Bayesian Analysis Gut: Probability: A Graduate Course Heiberger/Holland: Statistical Analysis and Data Display; An Intermediate Course with Examples in S-PLUS, R, and SAS Jobson: Applied Multivariate Data Analysis, Volume I: Regression and Experimental Design Jobson: Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods Karr: Probability Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems Lange: Applied Probability Lange: Optimization Lehmann: Elements of Large Sample Theory Lehmann/Romano: Testing Statistical Hypotheses, Third Edition Lehmann/Casella: Theory of Point Estimation, Second Edition Marin/Robert: Bayesian Core: A Practical Approach to Computational Bayesian Statistics Nolan/Speed: Stat Labs: Mathematical Statistics Through Applications Pitman: Probability Rawlings/Pantula/Dickey: Applied Regression Analysis Robert: The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation, Second Edition (Continued after index)
Jean-Michel Marin Christian P. Robert
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Jean-Michel Marin Project Select INRIA Futurs Laboratoire de Mathématiques Université Paris–Sud 91405 Orsay Cedex France [email protected]
Editorial Board George Casella Department of Statistics University of Florida Gainesville, FL 32611-8545 USA
ISBN 978-0-387-38979-0
Christian P. Robert CREST-INSEE and CEREMADE Université Paris–Dauphine 75775 Paris Cedex 16 France [email protected]
Stephen Fienberg Department of Statistics Carnegie Mellon University Pittsburgh, PA 15213-3890 USA
Ingram Olkin Department of Statistics Stanford University Stanford, CA 94305 USA
e-ISBN 978-0-387-38983-7
Library of Congress Control Number: 2006932972 © 2007 Springer Science+Business Media, LLC All rights reserved. This work may not be translated or copied in whole or in part without the written p
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