Frontiers of statistical decision making and bayesian analysis : In Honor of James O. Berger
Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. Whi...
Guardado en:
| Otros Autores: | , , , , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
New York, NY :
Springer New York
2010.
Cham : Springer Nature |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Frontiers of Statistical Decision Making and Bayesian Analysis, Texte imprimé, 9781441969439 • Frontiers of Statistical Decision Making and Bayesian Analysis, Texte imprimé, 9781441969453 • Frontiers of Statistical Decision Making and Bayesian Analysis, Texte imprimé, 9781489992017 |
Tabla de Contenidos:
- Objective Bayesian Inference with Applications
- Bayesian Decision Based Estimation and Predictive Inference
- Bayesian Model Selection and Hypothesis Tests
- Bayesian Inference for Complex Computer Models
- Bayesian Nonparametrics and Semi-parametrics
- Bayesian Influence and Frequentist Interface
- Bayesian Clinical Trials
- Bayesian Methods for Genomics, Molecular and Systems Biology
- Bayesian Data Mining and Machine Learning
- Bayesian Inference in Political Science, Finance, and Marketing Research
- Bayesian Categorical Data Analysis
- Bayesian Geophysical, Spatial and Temporal Statistics
- Posterior Simulation and Monte Carlo Methods.