Essential Bayesian models : a derivative of Handbook of statistics: Bayesian thinking

Essential Bayesian models : a derivative of Handbook of statistics: Bayesian thinking - modeling and computation, vol. 25

Title:

Essential Bayesian models : a derivative of Handbook of statistics: Bayesian thinking - modeling and computation, vol. 25

Author:

Dey, Dipak.

ISBN:

9780444537324

Edition:

1st ed.

Publication Information:

Amsterdam ; Boston : North-Holland, 2011.

Physical Description:

xii, 574 p. : ill. ; 24 cm.

Series:

Bayesian Thinking - Modeling and Computation ; 25

Bayesian Thinking - Modeling and Computation ; 25.

Subject Term:

Bayesian statistical decision theory.

Mathematical statistics.

Mathematical models.

Added Author:

Dey, Dipak.

Rao, C. R.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025595279	519.542 D528E 2011	1	Searching... Unknown

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.

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