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09/01/2021
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification
Outcome labeling ambiguity and subjectivity are ubiquitous in real-world...
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08/19/2019
Issues arising from benchmarking single-cell RNA sequencing imputation methods
On June 25th, 2018, Huang et al. published a computational method SAVER ...
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03/12/2019
Neyman-Pearson Criterion (NPC): A Model Selection Criterion for Asymmetric Binary Classification
We propose a new model selection criterion, the Neyman-Pearson criterion...
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11/25/2018
Generalized R^2 Measures for a Mixture of Bivariate Linear Dependences
Motivated by the pressing needs for capturing complex but interperetable...
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03/15/2017