On function-on-function linear quantile regression-Reference-Cited by-同舟云学术

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On function-on-function linear quantile regression

Published:2024-08-28 Issue: Volume: Page:1-27
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Mutis Muge¹^ORCID,Beyaztas Ufuk²^ORCID,Karaman Filiz¹^ORCID,Lin Shang Han³^ORCID

Affiliation:

1. Department of Statistics, Yildiz Technical University, Esenler-Istanbul, Turkiye

2. Department of Statistics, Marmara University, Kadikoy-Istanbul, Turkiye

3. Department of Actuarial Studies and Business Analytics, Macquarie University, Sydney-New South Wales, Australia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2395960

Reference46 articles.

1. Quantile regression based methods for investigating rainfall trends associated with flooding and drought conditions;Abbas S.A.;Water Resour. Manag.,2019

2. Function-on-function linear quantile regression;Beyaztas U.;Math. Model. Anal.,2022

3. Function-on-function partial quantile regression;Beyaztas U.;J. Agric. Biol. Environ. Stat.,2022

4. Penalized function-on-function linear quantile regression;Beyaztas U.;Comput. Stat.,2024

5. Robust penalized M-estimation for function-on-function linear regression;Cai X.;Stat,2021

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