多节
发表于 2025-3-23 11:10:04
Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator,ters can achieve root-. consistency. The requirement of under-smoothing may result, as we show, from inefficient estimation methods or technical difficulties. Xia et al. (J. Roy. Statist. Soc. B. 64:363–410, 2002) proposed an adaptive method for the multiple-index model, called MAVE. In this chapter
连累
发表于 2025-3-23 14:07:43
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Glaci冰
发表于 2025-3-23 20:26:36
Mechanics of Composite Materialsals its specific merits and strengths. We discuss nonparametric estimation of the extremile-based costs frontiers and establish asymptotic normality and weak convergence of the associated process. Empirical illustrations are provided.
Venules
发表于 2025-3-24 01:00:44
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讥讽
发表于 2025-3-24 04:10:44
Estimating Frontier Cost Models Using Extremiles,als its specific merits and strengths. We discuss nonparametric estimation of the extremile-based costs frontiers and establish asymptotic normality and weak convergence of the associated process. Empirical illustrations are provided.
TEM
发表于 2025-3-24 07:56:04
Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator,semi-parametric sense. Moreover, we derive higher-order expansions for our estimator and use them to define an optimal bandwidth for the purposes of index estimation. As a result we obtain a practically more relevant method and we show its superior performance in a variety of applications.
闲聊
发表于 2025-3-24 13:13:05
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大漩涡
发表于 2025-3-24 17:18:10
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胖人手艺好
发表于 2025-3-24 20:11:38
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chastise
发表于 2025-3-25 00:11:05
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