An Introduction to Statistical Inference for Partially Identified Models
Member Seminar Speaker: Yiqi Liu Title: An Introduction to Statistical Inference for Partially Identified Models Abstract: Classical statistical inference often relies on asymptotic approximations that are valid for each fixed data-generating process but may fail to hold uniformly over a class of relevant distributions. Starting with the familiar t-test, I will illustrate why this distinction […]