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Uncertainty Quantification and Causality

[Kernel methods, Conformal prediction, Causal inference]

(Note:     students under my supervision;  * corresponding author.)

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Xiaowu Dai and Lexin Li.

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

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Xiaowu Dai*, Xiang Lyu, and Lexin Li.

Journal of the American Statistical Association: Theory and Methods (JASA), 2023. [lead article]

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

Xiaowu Dai and Jared Huling. 

Preprint, 2023.

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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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  • Multi-layer kernel machines: Fast and optimal nonparametric regression with uncertainty quantification. [pdf][code][PyPI]

Xiaowu Dai* and Huiying Zhong

Preprint, 2024.​

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Jiale Han and Xiaowu Dai*.   

Preprint, 2024.

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