On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations

1 Feb 2020 Ali Foroughi pour Lori A. Dalton

Optimal Bayesian feature selection (OBFS) is a multivariate supervised screening method designed from the ground up for biomarker discovery. In this work, we prove that Gaussian OBFS is strongly consistent under mild conditions, and provide rates of convergence for key posteriors in the framework... (read more)

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