Applied Bayesian modelling /

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested co...

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Bibliographic Details
Main Author: Congdon, P.
Format: eBook
Language:English
Published: Chichester, West Sussex : John Wiley & Sons, 2014.
Edition:Second edition.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Bayesian methods and Bayesian estimation
  • Hierarchical models for related units
  • Regression techniques
  • More advanced regression techniques
  • Meta-analysis and multilevel models
  • Models for time series
  • Analysis of panel data
  • Models for spatial outcomes and geographical association
  • Latent variable and structural equation models
  • Survival and event history models.