Regular biography
Denis Chetverikov is a Professor of Economics at the University of California, Los Angeles, holding the Charles E. Davidson Chair in Economics. His research focuses on econometrics, with recent work involving high-dimensional models, shape restrictions, and applications of empirical process theory. His publications appear in leading journals such as Econometrica, the Review of Economic Studies, the Annals of Statistics, and the Annals of Probability. Chetverikov earned his Ph.D. from the Massachusetts Institute of Technology.
Scholar-generated biography
Denis Chetverikov is a professor in the Department of Economics at UCLA, specializing in econometrics. His research focuses on developing statistical methods for econometric analysis, particularly in high-dimensional settings. He has contributed significantly to the fields of double/debiased machine learning, Gaussian approximations, and bootstrap methods for suprema of empirical processes. His work addresses challenges in inference for treatment effects, structural parameters, and quantile regression. Chetverikov's research also includes the development of asymptotic theory for least squares series and the application of regularization techniques in econometrics. His publications emphasize robust statistical inference and the use of advanced econometric tools for policy evaluation and economic modeling.