The consistency for estimator of nonparametric regression model based on NOD errors
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Publication:372190
DOI10.1186/1029-242X-2012-140zbMath1294.62072WikidataQ59289451 ScholiaQ59289451MaRDI QIDQ372190
Shuhe Hu, Xinghui Wang, Wenzhi Yang, Xue-jun Wang
Publication date: 14 October 2013
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
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Cites Work
- On the exponential inequalities for negatively dependent random variables
- An exponential inequality for a NOD sequence and a strong law of large numbers
- Consistent nonparametric multiple regression for dependent heterogeneous processes: the fixed design case
- Strong convergence of pairwise NQD random sequences
- Weak and universal consistency of moving weighted averages
- Consistent nonparametric multiple regression: the fixed design case
- Consistent regression estimation with fixed design points under dependence conditions
- Fixed design regression for time series: Asymptotic normality
- A note on the almost sure convergence of sums of negatively dependent random variables
- Negative association of random variables, with applications
- Exponential inequalities and inverse moment for NOD sequence
- Asymptotics of estimators in semi-parametric model under NA samples
- Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
- The Bahadur representation for sample quantile under NOD sequence
- STRONG LIMIT THEOREMS FOR WEIGHTED SUMS OF NOD SEQUENCE AND EXPONENTIAL INEQUALITIES
- On a semiparametric regression model whose errors form a linear process with negatively associated innovations
- Some Concepts of Dependence
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