My talks in DC and Baltimore this week

Statistical Modeling, Causal Inference, and Social Science 2013-04-09

U.S. Treasury, Office of Financial Research, Tues 9 Apr afternoon (I don’t actually know exactly when or in what room):

Parameterization and Bayesian Modeling

Johns Hopkins University, Department of Biostatistics, 4pm Wed 10 Apr, room W2030 School of Public Health:

Little data: How traditional statistical ideas remain relevant in a big-data world

At the end of the day, after all the processing, big data are being used to answer little- data questions such as, Does an observed pattern generalize to the larger population?, or Could it be explained by alternative processes (sometimes called “chance”)? We discuss some recent ideas in the world of “little data” that remain of big importance.