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Asymptotic validity of bootstrap confidence intervals in nonparametric regression without an additive model

机译:没有添加剂模型的非参数回归中的自举置信区间的渐近有效性

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Bootstrap for nonparametric regression has been around for more than 30 years. Nevertheless, most results are based on assuming an additive regression model with respect to independent and identical (i.i.d.) errors. An exception is the Local Bootstrap of Shi [23] for which, however, no bootstrap consistency results are available. We attempt to remedy this here while at the same time showing bootstrap consistency for a more general class of methods that fall under the heading of Model-free Bootstrap of Politis .
机译:非参数回归的引导率已超过30多年。 然而,大多数结果基于假设相对于独立和相同(I.I.D.)错误的添加性回归模型。 异常是shi [23]的本地引导程序,但是,没有可用的引导一致性结果。 我们试图在此处纠正此处,同时显示出落在核炎的无模型举止标题下的更普通方法的引导一致性。

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