This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
|CE_15C||Mon, 8/2/2010, 8:30 AM - 5:00 PM||CC-12 (East)|
|Bayesian Inference for Surveys — Continuing Education Course|
|Instructor(s): Roderick Joseph Little, University of Michigan, Trivellore Raghunathan, University of Michigan|
|Bayesian methods in statistics are increasingly popular, spurred by advances in computational power and tools. Bayesian inference provides solutions to problems that cannot be solved exactly by standard frequentist methods. Students learning the Bayesian approach will obtain new analysis tools and a deeper understanding of competing systems of statistical inference, including the frequentist approach. The objective of this course is to describe the application of the Bayesian approach to survey sampling, where the focus of inference is on finite population quantities. Both instructors have conducted research in Bayesian methods, and have developed applications to real-world problems. Attendees are assumed to have some experience of familiarity with survey sampling (applied or theorerical) and some basic background in statistics, such as an undergraduate course in statistical inference or methods.|