Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

by Scott M. Lynch

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1441924345
• ISBN13: 9781441924346
• Release Date: November 2010
• Publisher: Springer
• Length: 359 Pages
• Weight: 1.19 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"