Abstract: In this paper, we propose two new algorithms for maximum-likelihood estimation (MLE) of high dimensional sparse covariance matrices. Unlike most of the state-of-the-art methods, which either ...
Abstract: We investigate the procedure of semi-parametric maximum likelihood estimation under constraints on summary statistics. Such a procedure results in a discrete probability distribution ...
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