Bayesian statistical modelling / Peter Congdon.

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Bibliographic Details
Uniform Title:Wiley series in probability and statistics.
Main Author: Congdon, P.
Language:English
Published: Chichester, England ; Hoboken, NJ : John Wiley & Sons, [2006], ©2006.
Edition:Second edition.
Series:Wiley series in probability and statistics.
Subjects:
Bayesian statistical decision theory.
Physical Description:xi, 573 pages : illustrations ; 25 cm.
Format: Book
Contents:
  • Introduction : the Bayesian method, its benefits and implementation
  • Bayesian model choice, comparison and checking
  • The major densities and their application
  • Normal linear regression, general linear models and log-linear models
  • Hierarchical priors for pooling strength and overdispersed regression modelling
  • Discrete mixture priors
  • Multinomial and ordinal regression models
  • Time series models
  • Modelling spatial dependencies
  • Nonlinear and nonparametric regression
  • Multilevel and panel data models
  • Latent variable and structural equation models for multivariate data
  • Survival and event history analysis
  • Missing data models
  • Measurement error, seemingly unrelated regressions, and simultaneous eqations.