条件密度近邻—核估计的逼近速度

Approximation Rates of Nearest Neighbor-Kernel Estimator for the Conditional Density

本文首先研究了条件密度函数近邻—核估计的误差分布的正态逼近精度，然后利用随机加权法构造了近邻－核估计的随机加权统计量，获得了随机加权逼近精度．

In this paper, it is the first to discuss the normal approximation rate of the error distribution of nearest neighbor-kernel estimator for the conditional density. Secondly, the random weighting statistics is introduced, and the random weighting approximation rate is obtaned under suitable conditions.