Oracle-efficient estimation for the mean function of missing covariate data based on noparametrically estimated selection probabilities

Author:

Cai Li1,Yao Yao1,Wang Suojin2

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

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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