Bayesian Inference with Geodetic Applications
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 a...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
1990, 1990
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| Edition: | 1st ed. 1990 |
| Series: | Lecture Notes in Earth Sciences
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Basic concepts
- Bayes’ Theorem
- Prior density functions
- Point estimation
- Confidence regions
- Hypothesis testing
- Predictive analysis
- Numerical techniques
- Models and special applications
- Linear models
- Nonlinear models
- Mixed models
- Linear models with unknown variance and covariance components
- Classification
- Posterior analysis based on distributions for robust maximum likelihood type estimates
- Reconstruction of digital images.