Limit behaviors of the estimator of nonparametric regression model based on martingale difference errors
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Publication:1622133
DOI10.1016/j.jkss.2018.07.002zbMath1406.62043OpenAlexW2887845086WikidataQ129430844 ScholiaQ129430844MaRDI QIDQ1622133
Yu Miao, Qinghui Gao, Xiaoyan Xu, Shui-Li Zhang
Publication date: 12 November 2018
Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jkss.2018.07.002
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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Cites Work
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- The consistency for the estimator of nonparametric regression model based on martingale difference errors
- The consistency for estimator of nonparametric regression model based on NOD errors
- On complete convergence in Marcinkiewicz-Zygmund type SLLN for negatively associated random variables
- Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence
- Complete consistency of estimators for regression models based on extended negatively dependent errors
- Consistent nonparametric multiple regression for dependent heterogeneous processes: the fixed design case
- Empirical likelihood inference for partial linear models under martingale difference sequence
- Weak and universal consistency of moving weighted averages
- Nonparametric function recovering from noisy observations
- Consistent regression estimation with fixed design points under dependence conditions
- Comparison of two bandwidth selectors with dependent errors
- A martingale inequality and large deviations.
- Empirical likelihood inference for semiparametric model with linear process errors
- Smoothing by spline functions.
- Weighted sums of certain dependent random variables
- Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Exponential-type inequalities for martingale difference sequences. Application to nonparametric regression estimation
- Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors
- Probability Inequalities for Sums of Bounded Random Variables
- Complete Convergence and the Law of Large Numbers
- Smoothing noisy data with spline functions
- Fixed-design regression for linear time series
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