Edgeworth expansion for nearest neighbor-Kernel estimate and random weighting approximation of conditional density

被引:0
作者
Yu Z. [1 ]
机构
[1] Institute of Electronic Technique, Zhengzhou
关键词
Edgeworth expansion; Nearest neighbor-kernel estimate; Random weighting method;
D O I
10.1007/s11766-000-0023-6
中图分类号
学科分类号
摘要
In this paper, Edgeworth expansion for the nearest neighbor-kernel estimate and random weighting approximation of conditional density are given and the consistency and convergence rate are proved. © 2000 Springer Verlag.
引用
收藏
页码:167 / 172
页数:5
相关论文
共 3 条
[1]  
Liu Z., Stronger consistence of nearest neighbor-kernel estimation of conditional density, Journal of Applied Probability and Statistics, 3, pp. 35-39, (1986)
[2]  
Yu Z., Nearest neighbor-kernel estimates and Bootstrap approximation of conditional density, Appl. Math. J. Chinese Univ, 3, pp. 295-300, (1998)
[3]  
Xue L., Zhen Z., Application of random weighting methods in density estimation, Acta Mathematical Applicatae Sinica, 4, pp. 600-608, (1997)