High-dimensional linear models have been extensively studied in the recent literature, but the developments in high-dimensional generalized linear models, or GLMs, have been much slower. In this talk, ...

Tools and concepts of empirical methods and data analysis are increasingly used in litigation, regulation, legal policymaking, and research. This course aims at providing students with basic training ...

Empirical likelihood (EL) methods constitute a class of non-parametric inference techniques that construct likelihood functions directly from observed data without specifying a full probability model.

Empirical Bayesian methods occupy a unique position at the interface of frequentist and Bayesian paradigms by estimating prior distributions directly from observed data. This approach preserves the ...