Robust Model Structure Recovery for Ultra-High-Dimensional Varying-Coefficient Models-Reference-Cited by-同舟云学术

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Robust Model Structure Recovery for Ultra-High-Dimensional Varying-Coefficient Models

Published:2023-06-16 Issue: Volume: Page:
ISSN:2194-6701
Container-title:Communications in Mathematics and Statistics
language:en
Short-container-title:Commun. Math. Stat.

Author:

Yang Jing,Tian Guo-Liang,Lu Xuewen,Wang Mingqiu^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Scientific Research Fund of Hunan Provincial Education Department

Discovery Grants

National Statistical Science Research Project of China

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s40304-023-00336-8.pdf

Reference47 articles.

1. Ahmad, I., Leelahanon, S., Li, Q.: Efficient estimation of a semiparametric partially linear varying coefficient model. Ann. Statist. 33, 258–283 (2005)

2. Chen, Y., Bai, Y., Fung, W.: Structural identification and variable selection in high-dimensional varying-coefficient models. J. Nonparametr. Stat. 29, 258–279 (2017)

3. Chen, J., Chen, Z.: Extended Bayesian information criteria for model selection with large model spaces. Biometrika 95, 759–771 (2008)

4. Cheng, M., Honda, T., Li, J., Peng, H.: Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data. Ann. Statist. 42, 1819–1849 (2014)

5. De Boor, C.: A Practical Guide to Splines. Springer, New York (2001)

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