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Introduction to Bayesian statistics

Author: Karl-Rudolf Koch
Publisher: Berlin ; New York : Springer, ©2007.
Edition/Format:   Book : English : 2nd, updated and enl. edView all editions and formats
Database:WorldCat
Summary:
"The Introduction to Bayesian Statistics (2nd edition) presents Bayes' theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend. The methods are applied to linear models, in models for a robust estimation, for prediction and filtering and in models for  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Karl-Rudolf Koch
ISBN: 9783540727231 354072723X
OCLC Number: 163345879
Description: xii, 249 p. : ill. ; 24 cm.
Contents: Probability --
Parameter estimation, confidence regions and hypothesis testing --
Linear model --
Special models and applications --
Numerical methods.
Other Titles: Einführung in Bayes-Statistik.
Responsibility: Karl-Rudolf Koch.
More information:

Abstract:

"The Introduction to Bayesian Statistics (2nd edition) presents Bayes' theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters, in a manner that is simple, intuitive and easy to comprehend. The methods are applied to linear models, in models for a robust estimation, for prediction and filtering and in models for estimating variance components and covariance components. Regularization of inverse problems and pattern recognition are also covered while Bayesian networks serve for reaching decisions in systems with uncertainties. If analytical solutions cannot be derived, numerical algorithms are presented, such as the Monte Carlo integration and Markov Chain Monte Carlo methods."--BOOK JACKET.

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From the reviews of the second edition: "This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. ... Read more...

 
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