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researcher

Yuan Gao

11 papers hereh-index 4103 citations14 works total

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

author position
  • first author5
  • middle author6

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • stat.ME6
  • stat.CO3
  • cs.LG1
  • math.ST1
same name
  • Yuan Gao — 36 papers, h 13
  • Yuan Gao — 29 papers
  • Yuan Gao — 19 papers, h 7
  • Yuan Gao — 15 papers, h 11
  • Yuan Gao — 15 papers, h 3
  • Yuan Gao — 12 papers, h 14

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
20212025
most citedA review of distributed statistical inference

55 citations · 87 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

stat.ME2023★ 1 cited

Mixture Conditional Regression with Ultrahigh Dimensional Text Data for Estimating Extralegal Factor Effects

Jiaxin Shi, Fang Wang, Yuan Gao +2

Testing judicial impartiality is a problem of fundamental importance in empirical legal studies, for which standard regression methods have been popularly used to estimate the extr…

math.ST2023★ 1 cited

On the asymptotic properties of a bagging estimator with a massive dataset

Yuan Gao, Riquan Zhang, Hansheng Wang

Bagging is a useful method for large-scale statistical analysis, especially when the computing resources are very limited. We study here the asymptotic properties of bagging estima…

stat.CO2023★ 55 cited

A review of distributed statistical inference

Yuan Gao, Weidong Liu, Hansheng Wang +3

The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to deve…

stat.ME2023

Testing Sufficiency for Transfer Learning

Ziqian Lin, Yuan Gao, Feifei Wang +1

Modern statistical analysis often encounters high dimensional models but with limited sample sizes. This makes the target data based statistical estimation very difficult. Then how…

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