Bayesian Core: A Practical Approach to Computational Bayesian Statistics

This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational me...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Marin, Jean-Michel (Author), Robert, Christian (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Springer Texts in Statistics,
Subjects:
Probabilities.
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Computer simulation.
Computational intelligence.
Mathematics-Data processing.
Probability Theory.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Computer Modelling.
Computational Intelligence.
Computational Mathematics and Numerical Analysis.
Online Access:Texto Completo
Table of Contents:
  • User's Manual
  • Normal Models
  • Regression and Variable Selection
  • Generalized Linear Models
  • Capture-Recapture Experiments
  • Mixture Models
  • Dynamic Models
  • Image Analysis.

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