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Essential Bayesian Models: A Derivative of Handbook of Statistics: Bayesian Thinking--Modeling and Computation, Volume 25

Essential Bayesian Models: A Derivative of Handbook of Statistics: Bayesian Thinking--Modeling and Computation, Volume 25

Hardcover

Probability & Statistics

ISBN10: 0444537325
ISBN13: 9780444537324
Publisher: North-Holland
Published: Dec 30 2010
Pages: 586
Weight: 2.29
Height: 1.30 Width: 6.10 Depth: 9.10
Language: English

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. The book 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.

Also from

Rao, C. R.

Also in

Probability & Statistics