​​

High-Dimensional Nonparametric Statistics

[Double machine learning, Knockoffs, FDR control]

​​

​​

• 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), 2021.

​

​

• 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), 2022.

​

​

• Multi-layer kernels: Multi-scale nonparametric regression and confidence bands. [pdf]

Xiaowu Dai.

Preprint, 2022+.

​

​

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

Xiaowu Dai and Peter Chien. 

Preprint, 2022+.

[Student Research Grants Competition Award, UW-Madison, 2019]

[ICSA Student Paper Award, 2018]

​

​

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

Xiaowu Dai and Jared Huling. 

Preprint, 2022+.

​​

​

​