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Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors
The weighted nearest neighbors (WNN) estimator has been popularly used as a flexible and easy-to-implement nonparametric tool for mean regression estimation.
Large-Scale Model Selection with Misspecification
Our new information criterion characterizes the impacts of both model misspecification and high dimensionality on model selection.
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
We provide theoretical justifications on the robustness of our modified procedure by showing that the false discovery rate (FDR) is asymptotically controlled at the target level and the power is asymptotically one with the estimated covariate distribution.
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