Weak convergence of the empirical spectral distribution of ultra-high-dimensional banded sample covariance matrices

Abstract

In this article we investigate high-dimensional banded sample covariance matrices under the regime that the sample size $n$, the dimension $p$ and the bandwidth $d$ tend simultaneously to infinity such that $$n/p\to 0\text{and}2d/n\to y>0.$$ It is shown that the empirical spectral distribution of those matrices almost surely converges weakly to some deterministic probability measure which is characterized by its moments. Certain restricted compositions of natural numbers play a crucial role in the evaluation of the expected moments of the empirical spectral distribution.

References in corpus (1)

• Test for bandedness of high-dimensional covariance matrices and bandwidth estimation