English

Wigner and Wishart Ensembles for graphical models

Statistics Theory 2020-09-02 v2 Probability Statistics Theory

Abstract

Vinberg cones and the ambient vector spaces are important in modern statistics of sparse models and of graphical models. The aim of this paper is to study eigenvalue distributions of Gaussian, Wigner and covariance matrices related to growing Vinberg matrices, corresponding to growing daisy graphs. For Gaussian or Wigner ensembles, we give an explicit formula for the limiting distribution. For Wishart ensembles defined naturally on Vinberg cones, their limiting Stieltjes transforms, support and atom at 0 are described explicitly in terms of the Lambert-Tsallis functions, which are defined by using the Tsallis qq-exponential functions.

Keywords

Cite

@article{arxiv.2008.10446,
  title  = {Wigner and Wishart Ensembles for graphical models},
  author = {Hideto Nakashima and Piotr Graczyk},
  journal= {arXiv preprint arXiv:2008.10446},
  year   = {2020}
}

Comments

27 pages, supplemental material 53 pages

R2 v1 2026-06-23T18:03:52.166Z