Saturday, November 21, 2009 from 10:00 AM - 4:00 PM (ET)
George W. Cobb
Professor Emeritus of Mathematics and Statistics
Mount Holyoke College
Discrete Markov Chain Monte Carlo as a First Course in Statistics
This workshop springs from a radical premise: if we emphasize conceptual understanding and use computers to do the computing, we can often present “advanced” topics at an elementary level. In that spirit, I have developed a course (NSF # 0089004) aimed at sophomore math majors with no statistics background. The only prerequisite is matrix algebra. The course has been taught to that audience three times at Mount Holyoke, and as a senior capstone course at Grinnell and at Villanova. In the workshop I plan to cover five clusters of topics:
1. Darwin’s Finches: Discrete MCMC, Fisherian testing, classical confidence intervals, Metropolis-Hastings algorithm. 2. Curricular issues and course overview 3. Political Killings in Kosovo: Bayesian estimation, efficiency of simulation strategies 4. Molecular alignment: the Gibbs sampler 5. Berkeley Bicycles: Hierarchical models
This workshop is aimed at two groups: (1) Those unfamiliar with MCMC who are interested in a non-technical, conceptually oriented introduction to the main ideas, algorithms, and typical applications;
and (2) undergraduate teachers interested in an example of a how we can rethink topics ordinarily considered advanced in order to present them to students with little or no background in statistics
Prerequisite: Matrix Algebra
Simmons College Room M222, the Management Building (immediately above the garage)
Visitors should enter the garage from the Avenue Louis Pasteur driveway. They will have to take, and keep, a ticket to enter the garage. . Bob Goldman will provide
everybody with a ticket at the event which will enable them to exit the garage.
To register by check, include the check made payable to BCASA, your name, affiliation, and mail by Nov 7 to:
Huichao Chen, PhD
Department of Biostatistics/CBAR
Harvard University
651 Huntington Ave, FXB502
Boston, MA 02115
A map and directions can be found at:
http://www.simmons.edu/overview/directions/
Remote attendees will be sent logon instructions.
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