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researcher

A. Belloni

37 papers hereh-index 368.7k citations114 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author30
  • middle author3
  • last author1

Across the 34 of 37 papers where every author was matched, so the position is known.

fields
  • math.ST19
  • stat.ME10
  • econ.EM2
  • stat.AP2
  • cs.SI1
  • math.NA1
same name
  • A. Belloni — 528 papers
  • A. Belloni — 37 papers, h 0
  • A. Belloni — 2 papers, h 104
  • A. Belloni — 1 paper, h 13
  • A. Belloni — 1 paper, h 1
  • A. Belloni — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20072025
most citedLeast squares after model selection in high-dimensional sparse models

630 citations · 1.9k across the 32 of their papers we have counts for

collaborators
Showing 2011Show all

4 papers · 1 filter

stat.ME2011

Approximate group context tree

Alexandre Belloni, Roberto I. Oliveira

We study a variable length Markov chain model associated with a group of stationary processes that share the same context tree but each process has potentially different conditiona…

stat.AP2011★ 17 cited

High Dimensional Sparse Econometric Models: An Introduction

Alexandre Belloni, Victor Chernozhukov

In this chapter we discuss conceptually high dimensional sparse econometric models as well as estimation of these models using L1-penalization and post-L1-penalization methods. Foc…

stat.ME2011

Conditional Quantile Processes based on Series or Many Regressors

Alexandre Belloni, Victor Chernozhukov, Denis Chetverikov +1

Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its f…

stat.ME2011★ 128 cited

Pivotal estimation via square-root Lasso in nonparametric regression

Alexandre Belloni, Victor Chernozhukov, Lie Wang

We propose a self-tuning Lasso​ method that simultaneously resolves three important practical problems in high-dimensional regression analysis, namely it handles…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.