Generalizing for Sampling and Causal Inference (my talk 3pm today at the University of Maryland)

Monday, April 28, 2025, 3:00 PM, 1101 A. James Clark Hall, University of Maryland, College Park:

We can combine model and design-based inference to address the following challenges of generalizing from sample to population: sparse data, small-area estimation, adjustment for non-census variables, cluster sampling, and survey weights. The methods are intellectually exciting and also important in the real world, as we demonstrate using examples in public health and public opinion, medical research, and policy analysis.

There will be discussion from Barry Graubard and Partha Lahiri. I’ll be discussing this paper and some related ideas.

It’s always fun to come back to the University of Maryland. I took classes in probability and stochastic processes there, many years ago.