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Bayesian Statistical Modelling

Bayesian Statistical Modelling

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  • ISBN:9780470018750
  • Editorial: Wiley & Sons Ltd.
  • Fecha de la edición:
  • Colección: Wiley series in probability and statistics
  • Encuadernación:Tapa dura
  • Dimensiones: 0 cm x 0 cm
  • Nº Pág.:544
  • Idiomas:Ingles,Inglés

Materias:

The goal of this book is to provide 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 code that can be readily adapted to the readers own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The coverage of statistical modeling using WinBUGS continues in the new edition although some examples using R and MLWIN are also introduced to broaden appeal and for completeness of coverage.


Preface.
Chapter 1. Introduction, the Bayesian Method, its Benefits and Implementation.
Chapter 2. Bayesian Model Choice and Comparison.
Chapter 3. The Major Densities and their Application.
Chapter 4. The Normal Linear Model and General Linear Models.
Chapter 5 - Hierarchical Priors & Overdispersed Regression.
Chapter 6. Discrete Mixtures.
Chapter 7. Multinomial & Ordinal Response Models.
Chapter 8. Time Series Models.
Chapter 9. Models for Spatial Data.
Chapter 10. Nonlinear & Nonparametric regression.
Chapter 11. Multilevel & Panel Data.
Chapter 12 Multivariate Data and SEMs
Chapter 13. Survival & Event History Models.
Chapter 14. Missing Data Models.
Chapter 15. Measurement Errors and Simultaneous Eqns.
Appendix. WINBUGS guide.
Index.

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