Estimation of High-Dimensional Graphical Models Using Regularized Score Matching
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Graphical models are widely used to model stochastic dependences among large collections of variables. We introduce a new method of estimating undirected conditional independence graphs based on the score matching loss, introduced by Hyvärinen (2005), and sub... ...