Model estimation and selection for partial linear varying coefficient EV models with longitudinal data-Reference-Cited by-同舟云学术

Model estimation and selection for partial linear varying coefficient EV models with longitudinal data

Published:2021-03-23 Issue: Volume: Page:1-23
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Zhao Mingtao¹,Xu Xiaoli²,Zhu Yanling¹,Zhang Kongsheng¹,Zhou Yan³

Affiliation:

1. School of Statistics and Applied Mathematics Anhui University of Finance & Economics, Bengbu, People's Republic of China

2. School of Management Science and Engineering, Anhui University of Finance & Economics, Bengbu, People's Republic of China

3. College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, People's Republic of China

Funder

Social Science Foundation of China

Natural Science Foundation of Anhui Universities

Social Science Foundation of the Ministry of Education of China

National Science Foundation of China

Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2021.1904847

Reference38 articles.

1. Measurement Error in Nonlinear Models

2. Empirical likelihood for semivarying coefficient model with measurement error in the nonparametric part

3. Empirical likelihood inference for partially time-varying coefficient errors-in-variables models

4. Profile likelihood inferences on semiparametric varying-coefficient partially linear models

5. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

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2. Quantile regression for varying-coefficient partially nonlinear models with randomly truncated data;Statistical Papers;2023-09-29

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