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. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely;
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of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing;
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industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book;
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a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;
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a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;
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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;
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Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;
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exclusively to Bayesian methods of analysis for applications to high-throughput gene expression data, exploring the relevant methods that are changing;
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Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling;
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sample sizes. With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and;
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sample sizes. With many tables and figures, this book enables readers to conduct a Bayesian analysis for a large variety of interesting and;
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of Statistics Series, with a focus on key methodologies and applications for Bayesian models and computation. It describes parametric and nonparametric;
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statistical topics, such as scientific data gathering, discrete random variables, robust Bayesian methods, and Bayesian approaches to inference for;
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The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;
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Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not;
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Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not;
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The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability;
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These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy;
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analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for;
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subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social;
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Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book;
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Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;
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Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;
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statistical methods for - timating model parameters and evaluating model t. However, the Bayesian methodology has shown great potential, particularly;
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Broadening its scope to nonstatisticians, Bayesian Methods for Data Analysis, Third Edition provides an accessible introduction to the;
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reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery;
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reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery;
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