Bent line quantile regression via a smoothing technique-Reference-Cited by-同舟云学术

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Bent line quantile regression via a smoothing technique

Published:2020-03-16 Issue:3 Volume:13 Page:216-228
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Zhou Xiaoying¹²,Zhang Feipeng³^ORCID

Affiliation:

1. Department of StatisticsHainan Normal University Haikou China

2. Key Laboratory of Data Science and Intelligence Education Ministry of EducationHainan Normal University Haikou China

3. School of Economics and FinanceXi'an Jiaotong University Xi'an China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hainan Province

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11453

Reference23 articles.

1. Consistency and Limiting Distribution of the Least Squares Estimator of a Threshold Autoregressive Model

2. On Asymptotic Distribution Theory in Segmented Regression Problems-- Identified Case

3. On the distribution of a studentized quantile;Hall P.;J. Royal Stat. Soc. B,1988

4. Regression Kink With an Unknown Threshold

5. A general Bahadur representation of M-estimators and its application to linear regression with nonstochastic designs

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Linear-quadratic Tobit regression model with a change point due to a covariate threshold;Journal of Nonparametric Statistics;2024-07-30

2. A bent line Tobit regression model with application to household financial assets;Journal of Statistical Planning and Inference;2022-12

3. Estimation and inference for multikink expectile regression with longitudinal data;Statistics in Medicine;2021-12-09

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