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...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture notes in Earth sciences
31 |
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bayesian inference with geodetic applications, Karl-Rudolf Koch, 1990, Berlin, Springer-Verlag, 1 vol. (IX-198 p.), Lecture notes in earth sciences, 978-3-540-53080-0 • Bayesian Inference with Geodetic Applications, Texte imprimé, 9783662186688 |
Tabl Cynhwysion:
- 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. .