Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lynch, Scott M. (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2007.
• Series: Statistics for Social and Behavioral Sciences
• Subjects: Social sciences.; Statistics.; Demography.; Social Sciences.; Methodology of the Social Sciences.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

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...

Table of Contents:

• 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.  .