Abstract: This paper considers the problem of estimating the population spectral distribution from a sample covariance matrix in large dimensional situations. We generalize the contour-integral based method in Mestre (2008) and present a local moment estimation procedure. Compared with the original one, the new proce-dure can be applied successfully to models where the asymptotic clusters of sample eigenvalues generated by different population eigenvalues are not all separate. The proposed estimates are proved to be consistent. Numerical results illustrate the im-plementation of the estimation procedure and demonstrate its efficiency in various cases. Key words and phrases: Empirical spectral distribution, Large covariance matrix
Abstract: The limiting spectral distribution of large sample covariance matrices is derived under de...
Abstract. We derive the distribution of the eigenvalues of a large sample covariance matrix when the...
Statistics derived from the eigenvalues of sample covariance matrices are called spectral statistics...
This paper considers the problem of estimating the population spectral distribution from a sample co...
International audienceSample covariance matrices play a central role in numerous popular statistical...
10.1016/j.jspi.2013.06.017Journal of Statistical Planning and Inference143111887-1897JSPI
This paper discusses the problem of estimating the population spectral distri-bution from high-dimen...
This paper discusses the problem of estimating the population spectral distri-bution from high-dimen...
Abstract. We investigate the spectral distribution of large sample covariance matrices with independ...
Spectral statistics play a central role in many multivariate testing problems. It is therefore of in...
This article studies the limiting behavior of a class of robust population covariance matrix estimat...
International audienceThis paper studies the limiting behavior of a class of robust population covar...
This thesis presents new results on spectral statistics of different families of large random matric...
This paper deals with the problem of estimating the covariance matrix of a series of independent mul...
The density function of the limiting spectral distribution of general sample covariance matrices is ...
Abstract: The limiting spectral distribution of large sample covariance matrices is derived under de...
Abstract. We derive the distribution of the eigenvalues of a large sample covariance matrix when the...
Statistics derived from the eigenvalues of sample covariance matrices are called spectral statistics...
This paper considers the problem of estimating the population spectral distribution from a sample co...
International audienceSample covariance matrices play a central role in numerous popular statistical...
10.1016/j.jspi.2013.06.017Journal of Statistical Planning and Inference143111887-1897JSPI
This paper discusses the problem of estimating the population spectral distri-bution from high-dimen...
This paper discusses the problem of estimating the population spectral distri-bution from high-dimen...
Abstract. We investigate the spectral distribution of large sample covariance matrices with independ...
Spectral statistics play a central role in many multivariate testing problems. It is therefore of in...
This article studies the limiting behavior of a class of robust population covariance matrix estimat...
International audienceThis paper studies the limiting behavior of a class of robust population covar...
This thesis presents new results on spectral statistics of different families of large random matric...
This paper deals with the problem of estimating the covariance matrix of a series of independent mul...
The density function of the limiting spectral distribution of general sample covariance matrices is ...
Abstract: The limiting spectral distribution of large sample covariance matrices is derived under de...
Abstract. We derive the distribution of the eigenvalues of a large sample covariance matrix when the...
Statistics derived from the eigenvalues of sample covariance matrices are called spectral statistics...