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书目名称Nonparametric Functional Estimation and Related Topics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0667823<br><br> <br><br>书目名称Nonparametric Functional Estimation and Related Topics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0667823<br><br> <br><br>知识分子 发表于 2025-3-21 23:51:57
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Reproducing Kernels and Finite Order Kernelss. We define here a multi-stage procedure to build estimates based on increasing order kernels and leading to a data-driven choice of both the order and the smoothing parameter. Some asymptotic as well as non-asymptotic results are provided for the estimates.micronutrients 发表于 2025-3-22 08:15:39
Exponential Inequalities in Nonparametric Estimationv statistic, the total variation distance for empirical measures, the Vapnik-Chervonenkis distance, and various performance criteria in nonparametric density estimation. We also derive bounds for the variances of these quantities.FLOAT 发表于 2025-3-22 09:31:09
Nonparametric Estimation of Elliptically Contoured Densitiese analyze the large sample behavior of a kernel-type estimator of f, when both the parametric component (μ.) as well as the nonparametric transfer function k are unknown. It turns out that the rate of convergence is independent of d.Arb853 发表于 2025-3-22 13:03:02
Laws of the Iterated Logarithm for Density EstimatorsWe obtain laws of the iterated logarithm for density estimates. Our results are based on functional laws of the iterated logarithm for the increments of empirical processes due to Deheuvels and Mason (1990).不可思议 发表于 2025-3-22 20:02:37
On Asymptotic Efficiency of Average Derivative EstimatesIt is shown, using results of Koshevnik and Levit (1976), that the average derivative estimator of Haerdle and Stoker (1989) is the asymptotically efficient nonparametric estimator of the average derivative of regression function.大暴雨 发表于 2025-3-22 21:51:37
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