Penalized Sparse Covariance Regression with High Dimensional Covariates
<p>Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i.e., similarity matrices). Specifically,...
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2024
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