Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm-Reference-Cited by-同舟云学术

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Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm

Published:2023-04-18 Issue:4 Volume:32 Page:1613-1623
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Kai Bo¹,Huang Mian²,Yao Weixin³^ORCID,Dong Yuexiao⁴

Affiliation:

1. Department of Mathematics, College of Charleston, Charleston, SC

2. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China

3. Department of Statistics, University of California, Riverside, Riverside, CA

4. Department of Statistics, Operations, and Data Science, Temple University, Philadelphia, PA

Funder

National Science Foundation

NSF

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2184374

Reference39 articles.

1. Efficient estimation of a semiparametric partially linear varying coefficient model

2. Kernel and Nearest-Neighbor Estimation of a Conditional Quantile

3. Semiparametric quantile regression estimation in dynamic models with partially varying coefficients

4. Nonparametric Estimates of Regression Quantiles and Their Local Bahadur Representation

5. Semiparametric partial Linear quantile regression of longitudinal data with time varying coefficients and informative observation times

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