Statistical inference in sparse high-dimensional additive models
Author:
Affiliation:
1. Department of Statistics, University of South Carolina
2. Institute of Applied Mathematics, Heidelberg University
3. Institute of Mathematics, Humboldt-Universität zu Berlin
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Sparse additive support vector machines in bounded variation space;Information and Inference: A Journal of the IMA;2024-01-01
2. Rejoinder on: statistical inference and large-scale multiple testing for high-dimensional regression models;TEST;2023-12
3. Sharp Lower Bound for Regression with Measurement Errors and Its Implication for Ill-Posedness of Functional Regression;Mathematical Methods of Statistics;2023-09
4. Local Linear Smoothing in Additive Models as Data Projection;Foundations of Modern Statistics;2023
5. Model Selection for High Dimensional Nonparametric Additive Models via Ridge Estimation;Mathematics;2022-12-01
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