Bayesian data analysis

Bayesian data analysis

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Détails bibliographiques
Auteurs principaux : Gelman Andrew (Auteur), Carlin John B. (Auteur), Stern Hal S. (Auteur)
Format : Livre
Langue : anglais
Titre complet : Bayesian data analysis / Andrew Gelman,... John B. Carlin,... Hal S. Stern,... [et al.]
Édition : 3rd edition
Publié : Boca Raton, Fla., London, New York, N.Y. : Chapman & Hall/CRC Press , cop. 2013
Description matérielle : 1 vol. (XIV-661 p.)
Collection : Texts in statistical science
Contenu : Contient des exercices
Sujets :
Inférence > Méthodes statistiques
Statistique bayésienne
Analyse des données
  • 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