Divergence-type errors of smooth Barron-type density estimators.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F02%3A16020043" target="_blank" >RIV/67985556:_____/02:16020043 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Divergence-type errors of smooth Barron-type density estimators.

Original language description

Barron-type estimators are histogram-based distribution estimators that have been proved to have good consistency properties according to several information theoretic criteria. However they are not continuous. In this paper, we examine a new type estimators with the frequency polygon. We prove the consistency of these estimators in expected information divergence and expected chi-squared-divergence. For one of them we evaluate the rate of convergence in expected chi-squared-divergence.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/GA102%2F99%2F1137" target="_blank" >GA102/99/1137: Estimation and optimization in telecommunication networks</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Test

ISSN

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e-ISSN

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Volume of the periodical

11

Issue of the periodical within the volume

1

Country of publishing house

ES - SPAIN

Number of pages

27

Pages from-to

191-217

UT code for WoS article

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EID of the result in the Scopus database

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