Bayesian Inference with Geodetic Applications / Lecture Notes in Earth Sciences Bd.31 (PDF)
(Sprache: Englisch)
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...
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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 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.
Bibliographische Angaben
- Autor: Karl-Rudolf Koch
- 2006, 1990, 199 Seiten, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540466010
- ISBN-13: 9783540466017
- Erscheinungsdatum: 11.04.2006
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 65 MB
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Englisch
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