Markov neighborhood regression for statistical inference of high‐dimensional generalized linear models
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DOI: 10.1002/sim.9493
Abstract: High‐dimensional inference is one of fundamental problems in modern biomedical studies. However, the existing methods do not perform satisfactorily. Based on the Markov property of graphical models and the likelihood ratio test, this article provides… read more here.
Keywords: neighborhood regression; markov neighborhood; high dimensional; inference ... See more keywords