Distribution and density estimation based on variation-diminishing spline approximation

The estimation of distribution functions is a fundamental problem in the fields of statistics and machine learning. In this paper, based on Schoenberg’s variation-diminishing spline approximation, we propose an efficient nonparametric method for estimating distribution and density functions with bou...

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Veröffentlicht in:	Statistical papers (Berlin, Germany) Germany), 2025-02, Vol.66 (1), p.13, Article 13
Hauptverfasser:	Mohaoui, Nezha, Mraoui, Hamid, Monir, Abdelilah
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation Asymptotic methods Asymptotic properties Density functions Distribution functions Estimation Machine learning Polynomials Simulation
Online-Zugang:	Volltext
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