Literature DB >> 30140164

Tail sums of Wishart and Gaussian eigenvalues beyond the bulk edge.

Iain M Johnstone1.   

Abstract

Consider the classical Gaussian unitary ensemble of size N and the real white Wishart ensemble with N variables and n degrees of freedom. In the limits of large N and n, with positive ratio γ in the Wishart case, the expected number of eigenvalues that exit the upper bulk edge is less than one, approaching 0.031 and 0.170 respectively, the latter number being independent of γ. These statements are consequences of quantitative bounds on tail sums of eigenvalues outside the bulk which are established here for applications in high dimensional covariance matrix estimation.

Entities:  

Keywords:  Tracy-Widom distribution; covariance estimation; high-dimensional asymptotics; orthogonal ensemble; spiked model

Year:  2018        PMID: 30140164      PMCID: PMC6101678          DOI: 10.1111/anzs.12201

Source DB:  PubMed          Journal:  Aust N Z J Stat        ISSN: 1369-1473            Impact factor:   0.640


  3 in total

1.  Large deviations of the maximum eigenvalue for wishart and Gaussian random matrices.

Authors:  Satya N Majumdar; Massimo Vergassola
Journal:  Phys Rev Lett       Date:  2009-02-12       Impact factor: 9.161

2.  Number of relevant directions in principal component analysis and Wishart random matrices.

Authors:  Satya N Majumdar; Pierpaolo Vivo
Journal:  Phys Rev Lett       Date:  2012-05-18       Impact factor: 9.161

3.  Phase transitions and edge scaling of number variance in Gaussian random matrices.

Authors:  Ricardo Marino; Satya N Majumdar; Grégory Schehr; Pierpaolo Vivo
Journal:  Phys Rev Lett       Date:  2014-06-26       Impact factor: 9.161

  3 in total
  1 in total

1.  Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model.

Authors:  David L Donoho; Matan Gavish; Iain M Johnstone
Journal:  Ann Stat       Date:  2018-06-27       Impact factor: 4.028

  1 in total

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