Test and Measure for Partial Mean Dependence Based on Machine Learning Methods-Reference-Cited by-同舟云学术

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Test and Measure for Partial Mean Dependence Based on Machine Learning Methods

Published:2024-08-30 Issue: Volume: Page:1-13
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Cai Leheng¹²,Guo Xu³,Zhong Wei⁴⁵

Affiliation:

1. Center for Statistical Science, Tsinghua University, Beijing, China

2. Department of Industrial Engineering, Tsinghua University, Beijing, China

3. School of Statistics, Beijing Normal University, Beijing, China

4. MOE Key Lab of Econometrics, WISE, Xiamen University, Xiamen, Fujian, China

5. Department of Statistics and Data Science, SOE, Xiamen University, Xiamen, Fujian, China

Funder

National Key R & D Program of China

National Natural Science Foundation of China

National Statistical Science Research Grants of China

Fundamental Research Funds for the Central Universities

Fujian Key Lab of Statistics

Fujian Key lab of Digital Finance

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2024.2366030

Reference57 articles.

1. Effective training of convolutional neural networks for face-based gender and age prediction

2. A simple measure of conditional dependence

3. On deep learning as a remedy for the curse of dimensionality in nonparametric regression

4. Boosting for high-dimensional linear models

5. Boosting With theL2Loss

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