Description: Essential Bayesian Models : A Derivative of Handbook of Statistics: Bayesian Thinking - Modeling on Computation, Hardcover by Dey, D. K.; Rao, C. R., ISBN 0444537325, ISBN-13 9780444537324, Brand New, Free shipping in the US This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation, Volume 25 in the Handbook of Statistics Series, with a focus on key methodologies and applications for Bayesian models and computation. It describes parametric and nonparametric Bayesian methods for modeling, and how to use modern computational methods to summarize inferences using simulation. Th covers a wide range of topics including objective and subjective Bayesian inferences, with a variety of applications in modeling categorical, survival, spatial, spatiotemporal, Epidemiological, small area and micro array data.Aids critical thinking on causal effectsProvides simulation based computing techniquesCovers Bioinformatics and Biostatistics
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Book Title: Essential Bayesian Models : A Derivative of Handbook of Statistic
Number of Pages: 586 Pages
Publication Name: Essential Bayesian Models
Language: English
Publisher: Elsevier Science & Technology
Publication Year: 2010
Subject: Probability & Statistics / Stochastic Processes, Probability & Statistics / Bayesian Analysis
Type: Textbook
Item Length: 9 in
Author: Dipak K. Dey, C. R. Rao
Subject Area: Mathematics
Item Width: 6 in
Format: Hardcover
