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Efficient Bayesian Regularization for Graphical Model Selection

There has been an intense development in the Bayesian graphical model literature over the past decade; however, most of the existing methods are restricted to moderate dimensions. We propose a novel graphical model selection approach for large dimensional settings where the dimension increases with...

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發表在:Bayesian Anal
Main Authors: Kundu, Suprateek, Mallick, Bani K., Baladandayuthapan, Veera
格式: Artigo
語言:Inglês
出版: 2018
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7592715/
https://ncbi.nlm.nih.gov/pubmed/33123305
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-ba1086
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