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Bayesian Thinking: Modeling and Computation PDF

1044 Pages·2006·11.59 MB·English
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by D. K. Dey, C.R. Rao| 2006| 1044 pages| 11.59| English

About Bayesian Thinking: Modeling and Computation

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians.Key Features:-Critical thinking on causal effects-Objective Bayesian philosophy-Nonparametric Bayesian methodology-Simulation based computing techniques-Bioinformatics and Biostatistics Key Features:?·Critical thinking on causal effects?·Objective Bayesian philosophy?·Nonparametric Bayesian methodology?·Simulation based computing techniques?·Bioinformatics and Biostatistics

Detailed Information

Author:D. K. Dey, C.R. Rao
Publication Year:2006
ISBN:9780444515391
Pages:1044
Language:English
File Size:11.59
Format:PDF
Price:FREE
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