Bayesian Inference with Geodetic Applications

Bayesian Inference with Geodetic Applications

by Karl-Rudolf Koch
     
 

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This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes' theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the

Overview

This introduction to Bayesian inference places special emphasis on applications. All basic concepts are presented: Bayes' theorem, prior density functions, point estimation, confidence region, hypothesis testing and predictive analysis. In addition, Monte Carlo methods are discussed since the applications mostly rely on the numerical integration of the posterior distribution. Furthermore, Bayesian inference in the linear model, nonlinear model, mixed model and in the model with unknown variance and covariance components is considered. Solutions are supplied for the classification, for the posterior analysis based on distributions of robust maximum likelihood type estimates, and for the reconstruction of digital images.

Product Details

ISBN-13:
9783540530800
Publisher:
Springer Berlin Heidelberg
Publication date:
10/28/1990
Series:
Lecture Notes in Earth Sciences Series , #31
Edition description:
1990
Pages:
199
Product dimensions:
6.69(w) x 9.61(h) x 0.02(d)

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