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
Main Authors: Marin, Jean-Michel. author (author), Robert, Christian. author
Format: eBook
Language:Inglés
Published: New York, NY : Springer New York 2007.
Edition:1st ed. 2007.
Series:Springer Texts in Statistics,
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009461053006719
Table of Contents:
  • User’s Manual
  • Normal Models
  • Regression and Variable Selection
  • Generalized Linear Models
  • Capture–Recapture Experiments
  • Mixture Models
  • Dynamic Models
  • Image Analysis.