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20122026
most citedApplied Causal Inference Powered by ML and AI

37 citations · 95 across the 23 of their papers we have counts for

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math.ST2024

Conditional Influence Functions

Victor Chernozhukov, Whitney K. Newey, Vasilis Syrgkanis

There are many nonparametric objects of interest that are a function of a conditional distribution. One important example is an average treatment effect conditional on a subset of…

math.ST2022

High-dimensional Data Bootstrap

Victor Chernozhukov, Denis Chetverikov, Kengo Kato +1

This article reviews recent progress in high-dimensional bootstrap. We first review high-dimensional central limit theorems for distributions of sample mean vectors over the rectan…

math.ST2018

Inference for Heterogeneous Effects using Low-Rank Estimation of Factor Slopes

Victor Chernozhukov, Christian Hansen, Yuan Liao +1

We study a panel data model with general heterogeneous effects where slopes are allowed to vary across both individuals and over time. The key dimension reduction assumption we emp…

math.ST2018

Subvector Inference in Partially Identified Models with Many Moment Inequalities

Alexandre Belloni, Federico Bugni, Victor Chernozhukov

This paper considers inference for a function of a parameter vector in a partially identified model with many moment inequalities. This framework allows the number of moment condit…

math.ST2018

High-Dimensional Econometrics and Regularized GMM

Alexandre Belloni, Victor Chernozhukov, Denis Chetverikov +2

This chapter presents key concepts and theoretical results for analyzing estimation and inference in high-dimensional models. High-dimensional models are characterized by having a…

math.ST201721 cited

Detailed proof of Nazarov's inequality

Victor Chernozhukov, Denis Chetverikov, Kengo Kato

The purpose of this note is to provide a detailed proof of Nazarov's inequality stated in Lemma A.1 in Chernozhukov, Chetverikov, and Kato (2017, Annals of Probability).