Abstract: Clutter covariance matrix estimation in nonhomogeneous environments is one of the main concerns in space-time adaptive processing (STAP). A number of estimation methods have been proposed by ...
This is a preview. Log in through your library . Abstract It is well known that, in misspecified parametric models, the maximum likelihood estimator (MLE) is consistent for the pseudo-true value and ...
In longitudinal data analysis, a correct specification of the within-subject covariance matrix cultivates an efficient estimation for mean regression coefficients. In this article, we consider robust ...
The MDC call is the robust (resistent) estimation of multivariate location and scatter, defined by minimizing the determinant of the covariance matrix computed from h points. The MVE call is the ...
Graphical models provide a robust framework for representing the conditional independence structure between variables through networks, enabling nuanced insight into complex high-dimensional data.
This repository contains MATLAB code in Robust adaptive beamforming for interference-plus-noise covariance matrix reconstruction. This code is for two papers: Covariance Matrix Reconstruction Based on ...
All components share the same spherical covariance matrix. For estimating the similarity between two Gaussian mixtures, the L 2 L2 distance was chosen by the authors because there exists a closed-form ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback