High-Dimensional Nonparametric Inference

[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. [pdf]

Xiaowu Dai, Xiang Lyu, and Lexin Li.

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

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

Xiaowu Dai.

Under Revisions at Annals of Statistics (AoS), 2022+.

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

Xiaowu Dai and Peter Chien. 

Under Revisions at Journal of the American Statistical Association (JASA), 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+.