Bayesian data analysis
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre papier |
| Sprog: | Anglais |
| Udgivet: |
Boca Raton, Fla. ; London ; New York, N.Y. :
Chapman & Hall/CRC Press
C2013.
|
| Udgivelse: | 3rd edition. |
| Serier: | Texts in statistical science
|
| Fag: | |
| Autres localisations: | Voir dans le Sudoc |
Indholdsfortegnelse:
- Contient des exercices
- FUNDAMENTALS OF BAYESIAN INFERENCE
- Probability and Inference
- Single-Parameter Models
- Introduction to Multiparameter Models
- Asymptotics and Connections to Non-Bayesian Approaches
- Hierarchical Models
- FUNDAMENTALS OF BAYESIAN DATA ANALYSIS
- Model Checking
- Evaluating, Comparing, and Expanding
- Models Modeling Accounting for Data Collection
- Decision Analysis
- ADVANCED COMPUTATION
- Introduction to Bayesian Computation
- Basics of Markov Chain Simulation
- Computationally Efficient Markov Chain Simulation
- Modal and Distributional Approximations
- REGRESSION MODELS
- Introduction to Regression Models
- Hierarchical Linear Models
- Generalized Linear Models
- Models for Robust Inference
- Models for Missing Data
- NONLINEAR AND NONPARAMETRIC MODELS
- Parametric Nonlinear Models
- Basic Function Models
- Gaussian Process Models
- Finite Mixture Models
- Dirichlet Process Models
- APPENDICES
- A: Standard Probability Distributions
- B: Outline of Proofs of Asymptotic Theorems
- C: Computation in R and Stan