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Bayesian Thinking, Modeling and Computation

  • 1st Edition, Volume 25 - December 22, 2005
  • Editors: Dipak K. Dey, C.R. Rao
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 4 4 4 - 5 1 5 3 9 - 1
  • eBook ISBN:
    9 7 8 - 0 - 0 8 - 0 4 6 1 1 7 - 5

This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes… Read more

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Elsevier academics book covers
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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