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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Hoff, Peter D. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2009.
Σειρά:Springer Texts in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.