AN IMPROVED MONOTONE CONDITIONAL QUANTILE ESTIMATOR

• 成果类型: Article
• 署名作者: MUKERJEE, H
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/aos/1176349158
• 发表日期: 1993
• 页码: 924-942
• 关键词: Nonparametric regression; kernel

摘要

Suppose that (X1,Y1),...,(X(n),Y(n)) are i.i.d. bivariate random vectors and that xi(p)(x) is the p-quantile of Y1 given X1 = x for 0 < p < 1. Estimation of xi(p)(x), when it is monotone in x, has been studied in the literature. In the nonparametric conditional quantile estimation one uses only some smoothness assumptions. The asymptotic properties are superior in the latter case; however, monotonicity is not guaranteed. We introduce a new estimator that enjoys both of the above properties.