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 inference...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam ; Boston :
Elsevier,
2005.
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| Edition: | 1st ed. |
| Series: | Handbook of statistics (Amsterdam, Netherlands) ;
v. 25. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xx, 1041 pages) : illustrations (some color). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780444515391 0444515399 0080461174 9780080461175 |
| ISSN: | 0169-7161 ; |