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条件密度近邻—核估计的渐近正态性
Asymptotic Normality of the Nearest Neighbor-Kernel Estimator of Conditional Density
【摘要】 本文给出了条件密度近邻-核估计的渐近正态分布。
【Abstract】 Let (X,Y) be Rp × Rq-valued random vector, and f(y|x) be the conditional density function of Y given X. In [1], the nearest neighbor-kernel estimator fn(y\x) of f(y\x) was introduced, and the strong consistency of fn(y\x) was proved. In the paper, the asymptotic normality of fn(y\x) is obtained under some moderate conditions.
【基金】 国家自然科学基金资助项目
- 【文献出处】 应用概率统计 ,Chinese Journal of Applied Probability and Statisties , 编辑部邮箱 ,1996年04期
- 【分类号】O212.1
- 【被引频次】1
- 【下载频次】65