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Covariance Matrix Estimation Via Network Structure
SSRN Electronic Journal, 2016In this article, we employ a regression formulation to estimate the high dimensional covariance matrix for a given network structure. Using prior information contained in the network relationships, we model the covariance as a polynomial function of the symmetric adjacency matrix.
Wei Lan +3 more
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Structured covariance matrix estimation: a parametric approach
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002The problem of estimating a positive semi-definite Toeplitz covariance matrix consisting of a low rank matrix plus a scaled identity from noisy data arises in many applications. We propose a computationally attractive (noniterative) covariance matrix estimator with certain optimality properties.
Magnus Jansson, Björn E. Ottersten
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On the Estimation of Polychoric Correlations and their Asymptotic Covariance Matrix
Psychometrika, 1994A general theory for parametric inference in contingency tables is outlined. Estimation of polychoric correlations is seen as a special case of this theory. The asymptotic covariance matrix of the estimated polychoric correlations is derived for the case when the thresholds are estimated from the univariate marginals and the polychoric correlations are
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A Monte Carlo synthetic sample based performance evaluation method for covariance matrix estimators
Applied Economics Letters, 2021Jin Yuan, Xianghui Yuan
exaly
Shrinking the eigenvalues of M-estimators of covariance matrix
IEEE Transactions on Signal Processing, 2020Esa Ollila +2 more
exaly
The Bias of a Heteroskedasticity Consistent Covariance Matrix Estimator
Econometrica, 1987Chesher, Andrew, Jewitt, Ian
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Methods of estimation of a covariance matrix
Computational Statistics & Data Analysis, 1987Jacqueline S. Galpin, Douglas M. Hawkins
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A Comparative Study of Sea Clutter Covariance Matrix Estimators
IEEE Geoscience and Remote Sensing Letters, 2014Stian Normann Anfinsen, Camilla Brekke
exaly

