Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions-Reference-Cited by-同舟云学术

Extreme quantile estimation for partial functional linear regression models with heavy‐tailed distributions

Published:2021-08-23 Issue: Volume: Page:
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can J Statistics

Author:

Zhu Hanbing¹^ORCID,Li Yehua²^ORCID,Liu Baisen³^ORCID,Yao Weixin²,Zhang Riquan¹

Affiliation:

1. School of Statistics, Key Laboratory of Advanced Theory and Application in Statistics and Data Science‐MOE East China Normal University Shanghai China

2. Department of Statistics University of California Riverside California USA

3. School of Statistics Dongbei University of Finance and Economics Dalian China

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjs.11653

Reference61 articles.

1. The effects of demographics and maternal behavior on the distribution of birth outcomes

2. Excess Functions and Estimation of the Extreme-Value Index

3. Prediction in functional linear regression

4. Minimax and Adaptive Prediction for Functional Linear Regression

5. Quantile regression when the covariates are functions

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