Bayesian Core: A Practical Approach to Computational Bayesian Statistics

• Main Authors: Marin, Jean-Michel (Author), Robert, Christian P. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2007.
• Series: Springer Texts in Statistics,
• Subjects: Mathematics.; Mathematical statistics.; Computer simulation.; Computer mathematics.; Probabilities.; Statistics.; Computational intelligence.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.; Probability and Statistics in Computer Science.; Simulation and Modeling.; Computational Intelligence.; Computational Mathematics and Numerical Analysis.

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...

Table of Contents:

• User’s Manual
• Normal Models
• Regression and Variable Selection
• Generalized Linear Models
• Capture–Recapture Experiments
• Mixture Models
• Dynamic Models
• Image Analysis.