A First Course in Bayesian Statistical Methods

This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and metho...

Description complète

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Hoff, Peter D. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2009.
Édition:1st ed. 2009.
Collection:Springer Texts in Statistics,
Sujets:
Probabilities.
Operations research.
Management science.
Statistics .
Sociology-Methodology.
Computer science-Mathematics.
Mathematical statistics.
Econometrics.
Probability Theory.
Operations Research, Management Science .
Statistical Theory and Methods.
Sociological Methods.
Probability and Statistics in Computer Science.
Accès en ligne:Texto Completo
Table des matières:
  • and examples
  • Belief, probability and exchangeability
  • One-parameter models
  • Monte Carlo approximation
  • The normal model
  • Posterior approximation with the Gibbs sampler
  • The multivariate normal model
  • Group comparisons and hierarchical modeling
  • Linear regression
  • Nonconjugate priors and Metropolis-Hastings algorithms
  • Linear and generalized linear mixed effects models
  • Latent variable methods for ordinal data.

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