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, Like New Used, Free P&P in the UK 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
Language: English
Publication Name: Essential Bayesian Models
Publisher: Elsevier Science & Technology
Publication Year: 2010
Subject: Mathematics
Item Height: 152 mm
Item Weight: 1060 g
Type: Textbook
Author: Dipak K. Dey, C.R. Rao
Item Width: 229 mm
Format: Hardcover
