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High-Dimensional Nonparametric Statistics

[Double machine learning, Kernel method, FDR control]

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• Kernel knockoffs selection for nonparametric additive models. [journal][preprint][code]

Xiaowu Dai, Xiang Lyu, and Lexin Li.

Journal of the American Statistical Association: Theory and Methods (JASA), 2021.

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• Orthogonalized kernel debiased machine learning for multimodal data analysis. [journal][preprint]

Xiaowu Dai and Lexin Li.

Journal of the American Statistical Association: Theory and Methods (JASA), 2022.

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• Another look at statistical calibration: A non-asymptotic theory and prediction-oriented optimality. [pdf]

Xiaowu Dai and Peter Chien. 

Preprint, 2023+.

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• Selection and estimation optimality in high dimensions with the TWIN penalty. [pdf]

Xiaowu Dai and Jared Huling. 

Preprint, 2023+.​