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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models tha...
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| Auteur principal : | |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Introduction to Applied Bayesian Statistics and Estimation for Social Scientists / edited by Scott M. Lynch. |
| Publié : |
New York, NY :
Springer New York
, 2007 |
| Collection : | Statistics for Social and Behavioral Sciences |
| Titre de l'ensemble : | Statistics for Social and Behavioral Sciences |
| Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
| Contenu : | Probability Theory and Classical Statistics. Basics of Bayesian Statistics. Modern Model Estimation Part 1: Gibbs Sampling. Modern Model Estimation Part 2: Metroplis Hastings Sampling. Evaluating Markov Chain Monte Carlo Algorithms and Model Fit. The Linear Regression Model. Generalized Linear Models. to Hierarchical Models. to Multivariate Regression Models. Conclusion. |
| Sujets : | |
| Documents associés : | Autre format:
Introduction to applied bayesian statistics and estimation for social scientists |
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