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Qingyuan Zhao

33 papers hereh-index 255.9k citations73 works total

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

author position
  • sole author2
  • first author11
  • middle author5
  • last author14

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • stat.ME20
  • stat.AP7
  • math.ST4
  • cs.SI1
  • stat.CO1
same name
  • Qingyuan Zhao — 15 papers, h 24
  • Qingyuan Zhao — 10 papers, h 3

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
20152026
most citedSEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity

483 citations · 1.3k across the 30 of their papers we have counts for

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2021

Multiple conditional randomization tests for lagged and spillover treatment effects

Yao Zhang, Qingyuan Zhao

We consider the problem of constructing multiple independent conditional randomization tests using a single dataset. Because the tests are independent, the randomization p-values c…

math.ST2021

On testing mean proportionality of multivariate normal variables

Etaash Katiyar, Qingyuan Zhao

This short note considers the problem of testing the null hypothesis that the mean values of two multivariate normal variables are proportional. We show that the usual likelihood r…

math.ST2017★ 10 cited

Two-sample instrumental variable analyses using heterogeneous samples

Qingyuan Zhao, Jingshu Wang, Jack Bowden +1

Instrumental variable analysis is a widely used method to estimate causal effects in the presence of unmeasured confounding. When the instruments, exposure and outcome are not meas…

math.ST2016

Permutation p-value approximation via generalized Stolarsky invariance

Hera Yu He, Kinjal Basu, Qingyuan Zhao +1

It is common for genomic data analysis to use p-values from a large number of permutation tests. The multiplicity of tests may require very tiny p-values in order to reject any…

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