Regression model for surrogate data in high dimensional statistics-Reference-Cited by-同舟云学术

Regression model for surrogate data in high dimensional statistics

Published:2019-07-11 Issue:13 Volume:49 Page:3206-3227
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Ibrahim Firas¹,Hajj Hassan Ali²,Demongeot Jacques¹³^ORCID,Rachdi Mustapha³^ORCID

Affiliation:

1. Faculté de Médecine, Univ. Grenoble Alpes, AGEIS EA 7407 laboratory, La Tronche, France;

2. Univ. Grenoble Alpes, CNRS, LJK, Saint-Martin-d’Hères, France;

3. Univ. Grenoble Alpes, AGEIS Laboratory, Grenoble Cedex, France

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2019.1586940

Reference47 articles.

1. Al-Awadhi, F., A. Benchiha, Z. Kaid, A. Laksaci, and M. Rachdi. 2019. FDA: kNN local linear regression with missing data at random. Technical report.

2. kNN local linear estimation of the conditional cumulative distribution function: Dependent functional data case

3. FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode

4. Locally modelled regression and functional data

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