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Fan Yang

28 papers hereh-index 12444 citations31 works total

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

author position
  • sole author5
  • first author4
  • middle author5
  • last author14

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • math.PR12
  • math.CA3
  • math-ph3
  • math.SP3
  • math.ST2
  • stat.ME2
same name
  • Fan Yang — 103 papers, h 75
  • Fan Yang — 60 papers, h 0
  • Fan Yang — 33 papers, h 39
  • Fan Yang — 31 papers, h 11
  • Fan Yang — 30 papers, h 13
  • Fan Yang — 28 papers, h 29

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
20162026
most citedEdge universality of separable covariance matrices

22 citations · 181 across the 28 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

math.CA2020

A Polynomial Roth Theorem for Corners in Finite Fields

Rui Han, Michael T Lacey, Fan Yang

We prove a Roth type theorem for polynomial corners in the finite field setting. Let ϕ1​ and ϕ2​ be two polynomials of distinct degree. For sufficiently large primes p, any s…

math.PR2020★ 2 cited

Edge statistics of large dimensional deformed rectangular matrices

Xiucai Ding, Fan Yang

We consider the edge statistics of large dimensional deformed rectangular matrices of the form Yt​=Y+t​X, where Y is a p×n deterministic signal matrix whose rank…

math.PR2020★ 6 cited

Linear spectral statistics of eigenvectors of anisotropic sample covariance matrices

Fan Yang

Consider sample covariance matrices of the form Q:=Σ1/2XX⊤Σ1/2, where X=(xij​) is an n×N random matrix whose entries are independent random variables wit…

math.PR2020★ 9 cited

Sample canonical correlation coefficients of high-dimensional random vectors: local law and Tracy-Widom limit

Fan Yang

Consider two random vectors C11/2​x∈Rp and C21/2​y∈Rq, where the entries of x and y are i.i.d…

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