AbstractResults on the analytic behavior of the limiting spectral distribution of matrices of sample covariance type, studied in Marcenko and Pastur [2] and Yin [8], are derived. Through an equation defining its Stieltjes transform, it is shown that the limiting distribution has a continuous derivative away from zero, the derivative being analytic wherever it is positive, and resembles [formula] for most cases of x0 in the boundary of its support. A complete analysis of a way to determine its support, originally outlined in Marčenko and Pastur [2], is also presented
AbstractThe existence of a limiting spectral distribution (LSD) for a large-dimensional sample covar...
Abstract. We consider an indexed class of real symmetric random matrices which gen-eralize the symme...
Abstract. We investigate the spectral distribution of large sample covariance matrices with independ...
A derivation of results on the analytic behavior of the limiting spectral distribution of sample cov...
AbstractA derivation of results on the analytic behavior of the limiting spectral distribution of sa...
The methods to establish the limiting spectral distribution (LSD) of large dimensional random matric...
The methods to establish the limiting spectral distribution (LSD) of large dimensional random matric...
Abstract: The limiting spectral distribution of large sample covariance matrices is derived under de...
29 pagesInternational audienceIn this paper we derive an extension of the Marchenko-Pastur theorem t...
Abstract. Consider the random matrix Σ = D1/2XD̃1/2 where D and D ̃ are deterministic Hermitian nonn...
The methods to establish the limiting spectral distribution (LSD) of large dimensional random ma-tri...
The limiting spectral distribution of random matrices is known only in a few special situations. In ...
AbstractWe introduce a random matrix model where the entries are dependent across both rows and colu...
The probabilistic properties of eigenvalues of random matrices whose dimension increases indefinitel...
AbstractThe existence of limiting spectral distribution (LSD) of the product of two random matrices ...
AbstractThe existence of a limiting spectral distribution (LSD) for a large-dimensional sample covar...
Abstract. We consider an indexed class of real symmetric random matrices which gen-eralize the symme...
Abstract. We investigate the spectral distribution of large sample covariance matrices with independ...
A derivation of results on the analytic behavior of the limiting spectral distribution of sample cov...
AbstractA derivation of results on the analytic behavior of the limiting spectral distribution of sa...
The methods to establish the limiting spectral distribution (LSD) of large dimensional random matric...
The methods to establish the limiting spectral distribution (LSD) of large dimensional random matric...
Abstract: The limiting spectral distribution of large sample covariance matrices is derived under de...
29 pagesInternational audienceIn this paper we derive an extension of the Marchenko-Pastur theorem t...
Abstract. Consider the random matrix Σ = D1/2XD̃1/2 where D and D ̃ are deterministic Hermitian nonn...
The methods to establish the limiting spectral distribution (LSD) of large dimensional random ma-tri...
The limiting spectral distribution of random matrices is known only in a few special situations. In ...
AbstractWe introduce a random matrix model where the entries are dependent across both rows and colu...
The probabilistic properties of eigenvalues of random matrices whose dimension increases indefinitel...
AbstractThe existence of limiting spectral distribution (LSD) of the product of two random matrices ...
AbstractThe existence of a limiting spectral distribution (LSD) for a large-dimensional sample covar...
Abstract. We consider an indexed class of real symmetric random matrices which gen-eralize the symme...
Abstract. We investigate the spectral distribution of large sample covariance matrices with independ...