{
"item_title" : "Bayesian Thinking, Modeling and Computation",
"item_author" : [" Dipak K. Dey", "C. R. Rao "],
"item_description" : "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.",
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9780444515391
- ISBN-10: 0444515399
- Publisher: North-Holland
- Publish Date: September 2005
- Dimensions: 9.6 x 7 x 1.81 inches
- Shipping Weight: 4.5 pounds
- Page Count: 1062
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