Andrew Gelman is Professor of Statistics and Political Science at Columbia University. He has been awarded the American Statistical Association’s Outstanding Statistical Application Award three times, the prize for the best article published in the American Journal of Political Sciencethe Mitchell and DeGroot Prizes of the International Society of Bayesian Analysis and the Prize of the Council of Presidents of Statistical Societies. His books include Bayesian data analysis (with John Carlin, Hal Stern, David Dunson, Aki Vehtari and Donald Rubin), Teaching Statistics: A Bag of Tricks (with Deborah Nolan), Data analysis with regression and multilevel/hierarchical models (with Jennifer Hill), Red states, blue states, rich states, poor states: Why Americans vote the way they do (with David Park, Boris Shor and Jeronimo Cortina), A quantitative tour through the social sciences (co-edited with Jeronimo Cortina) and Regression and other stories (with Jennifer Hill and Aki Vehtari).
Andrew has researched a wide range of topics, including: why it is rational to vote; why exit polls are so variable when elections are so predictable; the effects of incumbency and redistricting; overturning death sentences; police stops in New York City; the statistical challenges of estimating small effects; the probability that your vote will be decisive; seats and votes in Congress; the structure of social networks; arsenic in Bangladesh; radon in your basement; toxicology; medical imaging; and methods in surveys, experimental design, statistical inference, computation, and graphics.
For those unable to attend in person, the seminar will be recorded and made available for viewing at a later date. If you have any questions, please contact Cort Brinkerhoff in the Research Office: [email protected].
