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Qinwen Wang

10 papers hereh-index 8253 citations15 works total

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

author position
  • first author6
  • middle author2
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • math.PR4
  • math.ST4
  • stat.ME1
  • stat.ML1
same name
  • Qinwen Wang — 7 papers, h 5
  • Qinwen Wang — 2 papers, h 0
  • Qinwen Wang — 1 paper

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
20132021
most citedOn the sphericity test with large-dimensional observations

79 citations · 170 across the 10 of their papers we have counts for

collaborators
Showing math.PRShow all

4 papers · 1 filter

math.PR2015★ 4 cited

On singular values distribution of a large auto-covariance matrix in the ultra-dimensional regime

Qinwen Wang, Jianfeng Yao

Let (εt​)t>0​ be a sequence of independent real random vectors of p-dimension and let XT​=∑t=s+1s+T​εt​εt−sT​/T be the lag-s ($…

math.PR2014★ 8 cited

Moment approach for singular values distribution of a large auto-covariance matrix

Qinwen Wang, Jianfeng Yao

Let (εt​)t>0​ be a sequence of independent real random vectors of p-dimension and let XT​=∑t=s+1s+T​εt​εt−sT​/T be the lag-s (…

math.PR2014★ 2 cited

Joint CLT for several random sesquilinear forms with applications to large-dimensional spiked population models

Qinwen Wang, Zhonggen Su, Jianfeng Yao

In this paper, we derive a joint central limit theorem for random vector whose components are function of random sesquilinear forms. This result is a natural extension of the exist…

math.PR2013★ 4 cited

A note on the CLT of the LSS for sample covariance matrix from a spiked population model

Qinwen Wang, Jack W. Silverstein, Jianfeng Yao

In this note, we establish an asymptotic expansion for the centering parameter appearing in the central limit theorems for linear spectral statistic of large-dimensional sample cov…

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