Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities
Author:
Affiliation:
1. School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, People's Republic of China
2. Department of Statistics, Texas A&M University, College Station, TX, USA
Funder
Zhejiang Provincial Philosophy and Social Sciences Planning
National Statistical Science Research Key Program of China
Fundamental Research Funds for the Provincial Universities of Zhejiang
Zhejiang Gongshang University–Statistics
Simons Foundation Mathematics and Physical Sciences
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/10485252.2023.2292684
Reference42 articles.
1. On Some Global Measures of Deviations of Density Function Estimates;Bickel P.;The Annals of Statistics,1973
2. Simultaneous Confidence Bands for Nonparametric Regression with Missing Covariate Data;Cai L.;Annals of the Institute of Statistical Mathematics,2021
3. Oracally Efficient Estimation for Dense Functional Data with Holiday Effects;Cai L.;TEST,2020
4. Simultaneous Confidence Bands for Mean and Variance Functions Based on Deterministic Design;Cai L.;Statistica Sinica,2019
5. Oracle-Efficient Global Inference for Variance Function in Nonparametric Regression with Missing Covariates;Cai L.;Statistica Sinica,2023
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