Limit theorems for kernel density estimators under dependent samples

Yuexu Zhao, Zhengyan Lin

Type: Preprint

Publication Date: 2013-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1305.5882

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Works Cited by This (23)

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+	None	2000	Uwe Einmahl David M. Mason
+	Uniform Limit Laws for Kernel Density Estimators on Possibly Unbounded Intervals	2000	Paul Deheuvels
+ PDF Chat	Strong approximation of density estimators from weakly dependent observations by density estimators from independent observations	1998	Michael H. Neumann
+ PDF Chat	Maximal Inequalities for Partial Sums of $\rho$-Mixing Sequences	1995	Qi-Man Shao
+ PDF Chat	On Some Global Measures of the Deviations of Density Function Estimates	1973	Peter J. Bickel M. Rosenblatt
+ PDF Chat	On the Central Limit Theorem for $\rho$-Mixing Sequences of Random Variables	1987	Magda Peligrad
+	Nonparametric Density Estimation, Prediction, and Regression for Markov Sequences	1985	Sidney Yakowitz
+ PDF Chat	Remarks on Some Nonparametric Estimates of a Density Function	1956	Murray Rosenblatt
+ PDF Chat	On the Maximum Deviation of the Sample Density	1967	Michael Woodroofe
+ PDF Chat	Uniform in bandwidth consistency of kernel-type function estimators	2005	Uwe Einmahl David M. Mason