Bayesian data analysis

Bayesian data analysis

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Bibliographic Details
Main Authors : Gelman Andrew (Auteur), Carlin John B. (Auteur), Stern Hal S. (Auteur)
Format : Book
Language : anglais
Title statement : Bayesian data analysis / Andrew Gelman,... John B. Carlin,... Hal S. Stern,... [et al.]
Edition : 3rd edition
Published : Boca Raton, Fla., London, New York, N.Y. : Chapman & Hall/CRC Press , cop. 2013
Physical Description : 1 vol. (XIV-661 p.)
Series : Texts in statistical science
Content : Contient des exercices
Subjects :
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