DOIAbstract
Robust estimation, M-estimation, elliptically symmetric distribution, outliers, signal processing,
Robust estimation, M-estimation, elliptically symmetric distribution, outliers, signal processing,
International audienceIn most modern signal processing applications, observations are generally mode...
Mixed linear model, True model, Misspecified model, Dispersion, Random regression coefficient model,...
Cet article propose une revue de littérature des récentes avancées en estimation robuste de matrices...
In this paper, we propose a new componentwise estimator of a dispersion matrix, based on a highly ro...
AbstractIn this paper, we propose a new componentwise estimator of a dispersion matrix, based on a h...
International audienceIt is shown that Maronna's robust M-estimator of scatter for elliptical sample...
International audienceThis paper proposes an original approach to better understanding the behavior ...
International audienceThe Sample Covariance Matrix (SCM) is widely used in signal processing applica...
The traditional class of elliptical distributions is extended to allow for asymmetries. A completely...
The point estimation of the parameter {Mathematical expression} of a dispersion matrix {Mathematical...
Mahalanobis-type distances in which the shape matrix is derived from a consistent, high-breakdown ro...
Many different robust estimation approaches for the covariance or shape matrix of multivariate data ...
We propose a class of robust estimates for multivariate linear models. Based on the approach of MM-e...
International audienceUsing Renyi pseudodistances, new robustness and efficiency measures are define...
The minimum covariance determinant (MCD) scatter estimator is a highly robust estimator for the disp...
International audienceIn most modern signal processing applications, observations are generally mode...
Mixed linear model, True model, Misspecified model, Dispersion, Random regression coefficient model,...
Cet article propose une revue de littérature des récentes avancées en estimation robuste de matrices...
In this paper, we propose a new componentwise estimator of a dispersion matrix, based on a highly ro...
AbstractIn this paper, we propose a new componentwise estimator of a dispersion matrix, based on a h...
International audienceIt is shown that Maronna's robust M-estimator of scatter for elliptical sample...
International audienceThis paper proposes an original approach to better understanding the behavior ...
International audienceThe Sample Covariance Matrix (SCM) is widely used in signal processing applica...
The traditional class of elliptical distributions is extended to allow for asymmetries. A completely...
The point estimation of the parameter {Mathematical expression} of a dispersion matrix {Mathematical...
Mahalanobis-type distances in which the shape matrix is derived from a consistent, high-breakdown ro...
Many different robust estimation approaches for the covariance or shape matrix of multivariate data ...
We propose a class of robust estimates for multivariate linear models. Based on the approach of MM-e...
International audienceUsing Renyi pseudodistances, new robustness and efficiency measures are define...
The minimum covariance determinant (MCD) scatter estimator is a highly robust estimator for the disp...
International audienceIn most modern signal processing applications, observations are generally mode...
Mixed linear model, True model, Misspecified model, Dispersion, Random regression coefficient model,...
Cet article propose une revue de littérature des récentes avancées en estimation robuste de matrices...
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