# Anthropological Sciences 254/Political Science 354F: Applied
Bayesian Analysis

## Description

Bayesian modeling in the social sciences emphasizing applications
in political science, anthropological science, sociology, and
education testing. Topics include: Bayesian computation via Markov
chain Monte Carlo; Bayesian hierarchical modeling; Bayesian models for
latent variables and latent states (measurement modeling); dynamic
models; and Bayesian analysis of spatial models. Implementation of
Bayesian approaches (priors, efficient sampling from posterior
densities), data analysis, and model comparisons. Final
project. Prerequisites: exposure to statistical modeling such as
200-level

Many of the readings for this class are available online in
electronic format and can be found in this restricted
directory.

This restricted directory holds the various hand-outs
(e.g., lecture notes, supplementary readings, etc.) that we will
accumulate throughout the quarter.

This restricted directory will hold the R/BUGS/JAGS code and
data files that we accumulate over the quarter

This page contains pointers to resources for practical Bayesian
analysis for the social and biological sciences.

Last Modified: 04.03.07