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05/19/2023
Nonparametric classification with missing data
We introduce a new nonparametric framework for classification problems i...
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05/08/2023
Isotonic subgroup selection
Given a sample of covariate-response pairs, we consider the subgroup sel...
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09/02/2021
Optimal subgroup selection
In clinical trials and other applications, we often see regions of the f...
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06/08/2021
Adaptive transfer learning
In transfer learning, we wish to make inference about a target populatio...
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02/08/2021
Data-driven design of targeted gene panels for estimating immunotherapy biomarkers
We introduce a novel data-driven framework for the design of targeted ge...
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11/25/2019
Random projections: data perturbation for classification problems
Random projections offer an appealing and flexible approach to a wide ra...
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11/05/2019
The correlation-assisted missing data estimator
We introduce a novel approach to estimation problems in settings with mi...
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05/29/2018
Classification with imperfect training labels
We study the effect of imperfect training data labels on the performance...
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04/03/2017