On the convergence rates of kernel estimator and hazard estimator for widely dependent samples
Yongming Li, Yong Zhou, Chao Liu
Journal of Inequalities and Applications · 2018
doi:10.1186/s13660-018-1659-1 (opens in a new tab)
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Abstract
Abstract In this paper, we establish a Bernstein-type inequality for widely orthant dependent random variables, and obtain the rates of strong convergence for kernel estimators of density and hazard functions, under some suitable conditions.
Abstract licence: CC BY-NC-ND
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