3 papers
stat.ML2020
On the Consistency of Optimal Bayesian Feature Selection in the Presence of Correlations
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 OB…
stat.ML2019
Theory of Optimal Bayesian Feature Filtering
Ali Foroughi pour, Lori A. Dalton
Optimal Bayesian feature filtering (OBF) is a supervised screening method designed for biomarker discovery. In this article, we prove two major theoretical properties of OBF. First…
stat.ML2018
Optimal Clustering under Uncertainty
Lori A. Dalton, Marco E. Benalcázar, Edward R. Dougherty
Classical clustering algorithms typically either lack an underlying probability framework to make them predictive or focus on parameter estimation rather than defining and minimizi…