James Lo to Give Talk on Fast Estimation of Ideal Points with Massive Data

 James Lo, Postdoctoral Research Associate in political science at Princeton University, will give a talk titled, "Fast Estimation of Ideal Points with Massive Data" (with Kosuke Imai and Jonathan Olmsted, forthcoming in the American Political Science Review), on Wednesday, April 20th, as part of theUnderstanding Politics Speaker Series.