Course Description: Principles and applications of modern statistical decision theory, with a special focus on Bayesian modeling, data analysis, inference, and optimal decision making. Prior and posterior; comparison of Bayesian and frequentist approaches, including minimax decision making and elementary game theory. Bayesian estimation, hypothesis testing, credible sets, and Bayesian prediction. Introduction to Bayesian computing software and applications to diverse fields. Grading: A-F only. Prerequisite: STAT-514 or permission of instructor.... Read more about American University: Statistics 618/GOV 618 (Every FALL): Bayesian Statistics for Social and Biomedical Sciences
This is an introduction to survey research and polling. Surveys, generally speaking, address questions that are of interest to political researchers, political actors, corporations, government, and journalists. The scientific principles that underlie survey work come from theoretical and empirical knowledge produced by different fields such as political science, sociology, statistics, psychology, and computer science. Surveys provide researchers a way to measure attitudes, behaviors, values, and norms.