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ON CRAMÉR-VON MISES STATISTIC FOR THE SPECTRAL DISTRIBUTION OF RANDOM MATRICES

  • Zhigang Bao
  • , Yukun He

Research output: Contribution to journalJournal Articlepeer-review

Abstract

Let FN and F be the empirical and limiting spectral distributions of an N × N Wigner matrix. The Cramér-von Mises (CvM) statistic is a classical goodness-of-fit statistic that characterizes the distance between FN and F in L2-norm. In this paper, we consider a mesoscopic approximation of the CvM statistic for Wigner matrices, and derive its limiting distribution. In the Appendix, we also give the limiting distribution of the CvM statistic (without approximation) for the toy model CUE.

Original languageEnglish
Pages (from-to)4315-4355
Number of pages41
JournalAnnals of Applied Probability
Volume32
Issue number6
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Publisher Copyright:
© Institute of Mathematical Statistics, 2022.

Keywords

  • Cramér-von Mises statistic
  • Random matrices
  • empirical spectral distribution
  • goodness-of-fit statistic

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