February 24, 2014

Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors

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In this paper, we provide some exponential inequalities for extended negatively dependent (END) random variables. By using these exponential inequalities and the truncated method, we investigate the complete consistency for the estimator of nonparametric regression model based on END errors. As an application, the complete consistency for the nearest neighbour estimator is obtained.

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Wang et al. (Mon,) studied this question.

synapsesocial.com/papers/6a1deae3871ff5209bef8ae6 https://doi.org/https://doi.org/10.1080/02331888.2014.888431

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