[Ml-stat-talks] Fwd: [Released] OPR Seminar - February 8, 2011 - Andrew Gelman

David Blei blei at CS.Princeton.EDU
Thu Feb 3 17:13:26 EST 2011


hi ml stat talks

andrew gelman is speaking in OPR next week.  not to be missed!

best
dave



> ---------- Forwarded message ----------
> From: Mary Lou Delaney <md at princeton.edu>
> Date: Wed, Feb 2, 2011 at 10:54 AM
> Subject: [Released] OPR Seminar - February 8, 2011 - Andrew Gelman
> To: seminar_dist at lotka.princeton.edu
>
>
> *Office of Population Research*
>
> *Notestein Seminar Series*
>
>
>
> *Office of Population Research*
>
> *Notestein Seminar Series*
>
>
>
> *Andrew Gelman*
>
> *Columbia University*
>
>
>
> *Of Beauty, Sex, and Power: *
>
> *Statistical Challenges in Estimating Small Effects*
>
>
>
> Noon – Tuesday
>
> February 8, 2011
>
> 300 Wallace Hall
>
>
>
> * *
>
> *opr.princeton.edu/seminars*
>
> Andrew Gelman is a professor of statistics and political science and
> director of the Applied Statistics Center 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).
>
> Andrew has done research on a wide range of topics, including: why it is
> rational to vote; why campaign polls are so variable when elections are so
> predictable; why redistricting is good for democracy; reversals of 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; social network structure; arsenic in
> Bangladesh; radon in your basement; toxicology; medical imaging; and methods
> in surveys, experimental design, statistical inference, computation, and
> graphics.
>
>
>
>
>
>
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