A note on the estimation of the hölder constant

In this article, we develop a nonparametric estimator for the Hölder constant of a density function. We consider a simulation study to evaluate the performance of the proposal and construct smooth bootstrap confidence intervals. Also, we give a brief review over the impossibility to decide whether a...

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Autores principales: Henry, Guillermo Sebastián, Rodríguez, Daniela Andrea, Sued, Mariela
Publicado: 2014
Materias:
Discernibility
Hölder density
Nonparametric estimation
Bootstrap confidence interval
Non-parametric estimations
Nonparametric estimators
Simulation studies
Statistics
Statistical methods
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610918_v43_n4_p905_Henry
http://hdl.handle.net/20.500.12110/paper_03610918_v43_n4_p905_Henry
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling paper:paper_03610918_v43_n4_p905_Henry2023-06-08T15:34:52Z A note on the estimation of the hölder constant Henry, Guillermo Sebastián Rodríguez, Daniela Andrea Sued, Mariela Discernibility Hölder density Nonparametric estimation Bootstrap confidence interval Discernibility Non-parametric estimations Nonparametric estimators Simulation studies Statistics Statistical methods In this article, we develop a nonparametric estimator for the Hölder constant of a density function. We consider a simulation study to evaluate the performance of the proposal and construct smooth bootstrap confidence intervals. Also, we give a brief review over the impossibility to decide whether a density function is Hölder. © 2014 Copyright Taylor and Francis Group, LLC. Fil:Henry, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Rodriguez, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Sued, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610918_v43_n4_p905_Henry http://hdl.handle.net/20.500.12110/paper_03610918_v43_n4_p905_Henry
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Discernibility
Hölder density
Nonparametric estimation
Bootstrap confidence interval
Discernibility
Non-parametric estimations
Nonparametric estimators
Simulation studies
Statistics
Statistical methods
spellingShingle Discernibility
Hölder density
Nonparametric estimation
Bootstrap confidence interval
Discernibility
Non-parametric estimations
Nonparametric estimators
Simulation studies
Statistics
Statistical methods
Henry, Guillermo Sebastián
Rodríguez, Daniela Andrea
Sued, Mariela
A note on the estimation of the hölder constant
topic_facet Discernibility
Hölder density
Nonparametric estimation
Bootstrap confidence interval
Discernibility
Non-parametric estimations
Nonparametric estimators
Simulation studies
Statistics
Statistical methods
description In this article, we develop a nonparametric estimator for the Hölder constant of a density function. We consider a simulation study to evaluate the performance of the proposal and construct smooth bootstrap confidence intervals. Also, we give a brief review over the impossibility to decide whether a density function is Hölder. © 2014 Copyright Taylor and Francis Group, LLC.
author Henry, Guillermo Sebastián
Rodríguez, Daniela Andrea
Sued, Mariela
author_facet Henry, Guillermo Sebastián
Rodríguez, Daniela Andrea
Sued, Mariela
author_sort Henry, Guillermo Sebastián
title A note on the estimation of the hölder constant
title_short A note on the estimation of the hölder constant
title_full A note on the estimation of the hölder constant
title_fullStr A note on the estimation of the hölder constant
title_full_unstemmed A note on the estimation of the hölder constant
title_sort note on the estimation of the hölder constant
publishDate 2014
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03610918_v43_n4_p905_Henry
http://hdl.handle.net/20.500.12110/paper_03610918_v43_n4_p905_Henry
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