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Dimension reduction estimation for probability density with data missing at random when covariables are present

  • Published:2017-02 Issue: Volume:181 Page:11-29
  • ISSN:0378-3758
  • Container-title:Journal of Statistical Planning and Inference
  • language:en
  • Short-container-title:Journal of Statistical Planning and Inference

Author:

Deng Jianqiu,Wang Qihua

Funder

National Natural Science Foundation of China

Key Lab of Random Complex Structure and Data Science, CAS and Natural Science Foundation of SZU

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference23 articles.

1. Nonparametric estimation of mean functionals with data missing at random;Cheng;J. Amer. Statist. Assoc.,1994

2. Regression Graphics: Ideas for Studying Regressions through Graphics, Vol 482;Cook,2009

3. Likelihood-based sufficient dimension reduction;Cook;J. Amer. Statist. Assoc.,2009

4. discussion of “Sliced inverse regression for dimension reduction”, by K.C. Li;Cook;J. Amer. Statist. Assoc.,1991

5. Nonparametric Density Estimation: the L1 View, Vol. 119;Devroye,1985

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