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...

Description complète

Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Marin, Jean-Michel (Auteur), Robert, Christian (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2007.
Édition:1st ed. 2007.
Collection:Springer Texts in Statistics,
Sujets:
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.
Accès en ligne:Texto Completo
Table des matières:
  • User's Manual
  • Normal Models
  • Regression and Variable Selection
  • Generalized Linear Models
  • Capture-Recapture Experiments
  • Mixture Models
  • Dynamic Models
  • Image Analysis.

Documents similaires