Berry-Esseen type bounds of the estimators in a semiparametric model under linear process errors with α-mixing dependent innovations
Author:
Affiliation:
1. School of Mathematical Sciences, Anhui University, Hefei, People's Republic of China
2. Department of Mathematics, Shangrao Normal University, Shangrao, People's Republic of China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Project on Reserve Candidates for Academic and Technical Leaders of Anhui Province
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/02331888.2019.1624755
Reference22 articles.
1. Semiparametric Estimates of the Relation between Weather and Electricity Sales
2. Local Linear Estimation in Partly Linear Models
3. Locally adaptive regression splines
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1. Asymptotics for the G-M estimator in nonparametric regression models;Communications in Statistics - Simulation and Computation;2022-07-17
2. The Berry–Esseen-type bound for the G-M estimator in a nonparametric regression model with α-mixing errors;Statistics;2022-01-02
3. Complete moment convergence of moving-average processes under END assumptions;Communications in Statistics - Theory and Methods;2020-05-20
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