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Bayesian Inference with Geodetic Applications

By: K-R Koch
198 pages
Publisher: Springer Nature
Bayesian Inference with Geodetic Applications
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  • Bayesian Inference with Geodetic Applications ISBN: 9783540530800 Paperback Oct 1990 Not in stock: Usually dispatched within 1-2 weeks
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About this book

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 linear 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.

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By: K-R Koch
198 pages
Publisher: Springer Nature
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