Optimal statistical decision for Gaussian graphical model selection

9 Jan 2017Valery A. KalyaginAlexander P. KoldanovPetr A. KoldanovPanos M. Pardalos

Gaussian graphical model is a graphical representation of the dependence structure for a Gaussian random vector. It is recognized as a powerful tool in different applied fields such as bioinformatics, error-control codes, speech language, information retrieval and others... (read more)

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