2011•Journal of nonparametric statisticsRequires access

Estimation of the smoothness of density

Karol Dziedziul, Magdalena Kucharska, Barbara Wolnik

Open publisher page 5 citations

Abstract

This paper introduces a definition where the smoothness of a function f is characterized by means of the Besov spaces , that is, there is the parameter s* such that for all ss*, . If f is a density with the smoothness s*, then we construct an estimator of s* which is based on histograms.

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What this paper is about

This paper introduces a definition where the smoothness of a function f is characterized by means of the Besov spaces , that is, there is the parameter s* such that for all ss*, . If f is a density with the smoothness s*, then we construct an estimator of s* which is based on histograms.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper introduces a definition where the smoothness of a function f is characterized by means of the Besov spaces , that is, there is the parameter s* such that for all ss*, . If f is a density with the smoothness s*, then we construct an estimator of s* which is based on histograms.

Key concepts: Smoothness, Mathematics, Estimator, Besov space, Density estimation, Construct (python library), Histogram, Applied mathematics

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