Speaker: Dr. Andrew Gelman, professor of statistics and political science, Director of the Applied Statistics Center, Columbia University
Date: Thursday, March 21, 2013
Time: 3:30 PM
Place: Procrastinator Theater, Strand Union Building
Title: "Ronald Reagan is a Statistician and Other Examples of Learning From Diverse Sources of Information"
Sponsoring department: Mathematical Sciences
Summary: Are you better off than you were four years ago? Are beautiful people more likely to have daughters? Why are voters in rich East Coast states so liberal? How many people do you know? Should you check your house for radon gas? These and other questions are best answered by combining information from different sources. We discuss ways to combine information statistically and also how this can go wrong, in the context of several examples in social science and policy.
About the speaker: Dr. Andrew Gelman is a professor of statistics and political science at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. His books include Bayesian Data Analysis (with John Carlin, Hal Stern, and Don Rubin), Teaching Statistics: A Bag of Tricks (with Deb Nolan), Data Analysis Using Regression and Multilevel/Hierarchical Models (with Jennifer Hill), and, most recently, Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do (with David Park, Boris Shor, Joe Bafumi, and Jeronimo Cortina).