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Modern Bayesian Statistics Books
Modern Bayesian Statistics Books: A list by Michael R. Chernick "statman31147"

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Hot topics in statistics: A list by Michael R. Chernick "statman31147"

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Books › "bayesian probability"

 
 
Showing 1 - 12 of 4,603 Results
 
1. 
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Bayesian Theory (Wiley Series in Probability and Statistics) by José M. Bernardo and Adrian F. M. Smith (Paperback - April 24, 2000)
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Excerpt - page 90: "... 2) for a discussion of the variety of attitudes to probability compatible with a systematic use of the Bayesian paradigm. There are, of course, many other examples of axiomatic ..."
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2. 
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Bayesian Computation with R (Use R) by Jim Albert (Paperback - May 15, 2009)
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Excerpt - page 55: "... 3.6 A Bayesian Test of the Fairness of a Coin 55 $bf [1] 0.3893163 $post [1] 0.2802215 The output variable post is the posterior probability that p = .5, which agrees with the calculation. ..."
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3. 
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Data Analysis: A Bayesian Tutorial by Devinderjit Sivia and John Skilling (Paperback - Jul 27, 2006)
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Excerpt - page 10: "... The frequency definition of probability merely gives the impression of ... idea of `uncertainty' inherent in Bayesian probability theory. ..."
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4. 
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Bayesian Statistical Modelling (Wiley Series in Probability and Statistics) by Peter Congdon (Hardcover - Jan 17, 2007)
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Excerpt - page 57: "... (2005) Bayesian computation: from posterior densities to Bayes factors, marginal likelihoods, and posterior model probabilities. In Bayesian Thinking, Modeling and Computation, Dey, D. and Rao, ..."
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5. 
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Bayesian Networks: An Introduction (Wiley Series in Probability and Statistics) by Timo Koski and John Noble (Hardcover - Nov 23, 2009)
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Excerpt - page 14: "... 5 Interpretations of probability and Bayesian networks Loosely speaking, classical statistics proposes a probability distribution over ..."
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6. 
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Bayesian Statistics: Principles, Models, and Applications (Wiley Series in Probability and Statistics) by S. James Press (Hardcover - April 1989)
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7. 
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Bayesian Statistics and Marketing (Wiley Series in Probability and Statistics) by Peter E. Rossi, Greg M. Allenby, and Rob McCulloch (Hardcover - Jan 11, 2006)
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Excerpt - page 9: "... We then develop the basics of Bayesian inference, discuss the role of subjective probability and priors and provide some of the most compelling arguments ..."
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8. 
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Biostatistics: A Bayesian Introduction (Wiley Series in Probability and Statistics) by George G. Woodworth (Hardcover - Sep 6, 2004)
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9. 
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Structural Equation Modelling: A Bayesian Approach (Wiley Series in Probability and Statistics) by Sik-Yum Lee (Hardcover - Mar 23, 2007)
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Excerpt - page 70: "... simplicity, we use p (9) to denote p (6 M. Bayesian inference is based on the observed data Y and the prior distribution of 9. Let p (Y, 01 M) be the probability density function of the joint distribution of Y and 9 ..."
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10. 
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Bayesian Methods for Nonlinear Classification and Regression (Wiley Series in Probability and Statistics) by David G. T. Denison, Christopher C. Holmes, Bani K. Mallick, and Adrian F. M. Smith (Hardcover - May 24, 2002)
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Excerpt - page 215: "... Adams (2002) which compare the standard nearest-neighbour approach with the Bayesian one. ..."
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11. 
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Reliability and Risk: A Bayesian Perspective (Wiley Series in Probability and Statistics) by Nozer D. Singpurwalla (Hardcover - Oct 6, 2006)
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Excerpt - page 254: "... BAYES METHODS IN RELIABILITY On Neutral to the Right (Left) Probabilities Neutral to the right-random probabilities are of interest in Bayesian inference because of their closure properties. Specifically, the posterior distribution ..."
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12. 
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Bayesian Biostatistics and Diagnostic Medicine by Lyle D. Broemeling (Hardcover - Jul 12, 2007)
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Excerpt - page 29: "... for the history of Laplace 's monumental contributions to inverse probability.) It was in relatively modern times that Bayesian statistics began its resur- gence with works by Lhoste,7 Jeffreys,' ..."
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