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FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode

机译:FDA:功能性条件密度和模式的KNN局部线性估计的强趋势

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摘要

In this paper we present a new estimator of the conditional density and mode when the co-variables are of functional kind. This estimator is a combination of both, the k-Nearest Neighbours procedure and the functional local linear estimation. Then, for each statistical parameter (conditional density or mode), results concerning the strong consistency and rate of convergence of the estimators are presented. Finally, their performances, for finite sample sizes, are illustrated by using simulated data.
机译:在本文中,当共变量具有功能性时,我们介绍了条件密度和模式的新估计器。该估算器是K到最近邻居程序的组合和功能本地线性估计。然后,对于每个统计参数(条件密度或模式),提出了关于强常数和估计率的收敛速率的结果。最后,通过使用模拟数据来说明它们的有限样本尺寸的性能。

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