An introduction to bayesian analysis : theory and methods / by Jayanta K. Ghosh and Mohan Delampady

By: Ghosh, Jayanta KContributor(s): Delampady, Mohan | Samanta, TapasMaterial type: TextTextSeries: Springer texts in statisticsPublication details: New Delhi : Springer, 2011, 2006cDescription: xiii, 352 p. : ill. ; 24 cmISBN: 9788132203605Subject(s): Bayesian statistical decision theory | MathematicsDDC classification: 519.542
Contents:
Statistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior and Bayesian Robustness.- Large Sample Methods.- Choice of Priors for Low-Dimensional Parameters.- Hypothesis Testing and Model Selection.- Bayesian Computations.- Some Common Problems In Inference.- High-Dimensional Problems.- Some Applications.
Summary: This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and on emerging areas. No other such book is
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Namal Library
Mathematics 		519.542 GHO-I 2011 273 (Browse shelf (Opens below)) Available 273
Books Books Namal Library
Mathematics 		519.542 GHO-I 2011 1143 (Browse shelf (Opens below)) 2 Available 1143
Total holds: 0

Index included

Statistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior and Bayesian Robustness.- Large Sample Methods.- Choice of Priors for Low-Dimensional Parameters.- Hypothesis Testing and Model Selection.- Bayesian Computations.- Some Common Problems In Inference.- High-Dimensional Problems.- Some Applications.

This book is a contemporary introduction to theory, methods and computation in Bayesian Analysis. It focuses on topics that have stood the test of time and on emerging areas. No other such book is

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