Calcul pratique de la distance de Prokhorov
Capacité et théorie du renouvellement. I
Caractérisation des groupes de Lie connexes récurrents
Caractérisation des groupes localement compacts de type (T) ayant la propriété de point fixe
Caractérisation d’une classe d’ensembles convexes de ou
Caractérisation d'une solution optimale au problème de Monge-Kantorovitch
Caracterización geométrica de la independencia en un espacio gaussiano.
Central limit problem and invariance principles on Banach spaces
Central limit problem for symmetric case: Convergence to non-Gaussian laws
Central limit theorems for eigenvalues in a spiked population model
In a spiked population model, the population covariance matrix has all its eigenvalues equal to units except for a few fixed eigenvalues (spikes). This model is proposed by Johnstone to cope with empirical findings on various data sets. The question is to quantify the effect of the perturbation caused by the spike eigenvalues. A recent work by Baik and Silverstein establishes the almost sure limits of the extreme sample eigenvalues associated to the spike eigenvalues when the population and the...
Central limit theorems for eigenvalues of deformations of Wigner matrices
In this paper, we study the fluctuations of the extreme eigenvalues of a spiked finite rank deformation of a Hermitian (resp. symmetric) Wigner matrix when these eigenvalues separate from the bulk. We exhibit quite general situations that will give rise to universality or non-universality of the fluctuations, according to the delocalization or localization of the eigenvectors of the perturbation. Dealing with the particular case of a spike with multiplicity one, we also establish a necessary and...
Central limit theorems for linear spectral statistics of large dimensional F-matrices
In many applications, one needs to make statistical inference on the parameters defined by the limiting spectral distribution of an F matrix, the product of a sample covariance matrix from the independent variable array (Xjk)p×n1 and the inverse of another covariance matrix from the independent variable array (Yjk)p×n2. Here, the two variable arrays are assumed to either both real or both complex. It helps to find the asymptotic distribution of the relevant parameter estimators associated with the...
Central limit theorems for the brownian motion on large unitary groups
In this paper, we are concerned with the large limit of the distributions of linear combinations of the entries of a Brownian motion on the group of unitary matrices. We prove that the process of such a linear combination converges to a Gaussian one. Various scales of time and various initial distributions are considered, giving rise to various limit processes, related to the geometric construction of the unitary Brownian motion. As an application, we propose a very short proof of the asymptotic...
Champs markoviens et mesures de Gibbs sur
Chaos multiplicatif : un traitement simple et complet de la fonction de partition
Characteristic polynomials of sample covariance matrices: The non-square case
We consider the sample covariance matrices of large data matrices which have i.i.d. complex matrix entries and which are non-square in the sense that the difference between the number of rows and the number of columns tends to infinity. We show that the second-order correlation function of the characteristic polynomial of the sample covariance matrix is asymptotically given by the sine kernel in the bulk of the spectrum and by the Airy kernel at the edge of the spectrum. Similar results are given...
Charakterisierung stetiger Faltungshalbgruppen durch das Lévy-Maß.
Charges, poids et mesures de Lévy dans les espaces vectoriels localement convexes
Chevet type inequality and norms of submatrices
We prove a Chevet type inequality which gives an upper bound for the norm of an isotropic log-concave unconditional random matrix in terms of the expectation of the supremum of “symmetric exponential” processes, compared to the Gaussian ones in the Chevet inequality. This is used to give a sharp upper estimate for a quantity that controls uniformly the Euclidean operator norm of the submatrices with k rows and m columns of an isotropic log-concave unconditional random matrix. We apply these estimates...
Class of unimodal distributions and its transformations