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Jiang Hu

27 papers hereh-index 12514 citations57 works total

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

author position
  • first author4
  • middle author14
  • last author9

Across the 27 of 27 papers where every author was matched, so the position is known.

fields
  • math.ST16
  • math.PR9
  • stat.AP1
  • stat.ME1
same name
  • Jiang Hu — 16 papers, h 9
  • Jiang Hu — 12 papers, h 2
  • Jiang Hu — 8 papers, h 41
  • Jiang Hu — 8 papers, h 3
  • Jiang Hu — 5 papers, h 1
  • Jiang Hu — 5 papers, h 2

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
20112023
most citedA review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices

32 citations · 99 across the 26 of their papers we have counts for

collaborators
Showing 2023 · math.PRShow all

2 papers · 2 filters

math.PR2023

Exact Separation of Eigenvalues of Large Dimensional Noncentral Sample Covariance Matrices

Zhidong Bai, Jiang Hu, Jack W. Silverstein +1

Let $ \bbB_n =\frac{1}{n}(\bbR_n + \bbT^{1/2}_n \bbX_n)(\bbR_n + \bbT^{1/2}_n \bbX_n)^* $ where $ \bbX_n $ is a p×n matrix with independent standardized random variables…

math.PR2023

No Eigenvalues Outside the Support of the Limiting Spectral Distribution of Large Dimensional noncentral Sample Covariance Matrices

Zhidong Bai, Jiang Hu, Jack W. Silverstein +1

Let $ \bbB_n =\frac{1}{n}(\bbR_n + \bbT^{1/2}_n \bbX_n)(\bbR_n + \bbT^{1/2}_n \bbX_n)^* $, where $ \bbX_n $ is a p×n matrix with independent standardized random variable…

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