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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F02%3A16020043%21RIV%2F2003%2FGA0%2FA16003%2FN
rdf:type
n12:Vysledek skos:Concept
dcterms: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. 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.
dcterms:title
Divergence-type errors of smooth Barron-type density estimators. Divergence-type errors of smooth Barron-type density estimators.
skos:prefLabel
Divergence-type errors of smooth Barron-type density estimators. Divergence-type errors of smooth Barron-type density estimators.
skos:notation
RIV/67985556:_____/02:16020043!RIV/2003/GA0/A16003/N
n3:strany
191;217
n3:aktivita
n8:Z n8:P
n3:aktivity
P(GA102/99/1137), Z(AV0Z1075907)
n3:cisloPeriodika
1
n3:dodaniDat
n11:2003
n3:domaciTvurceVysledku
n18:7997698
n3:druhVysledku
n10:J
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
643434
n3:idVysledku
RIV/67985556:_____/02:16020043
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Barron-type density estimators; consistency in expected information divergence; consistency in expected chi-squared-divergence
n3:klicoveSlovo
n4:Barron-type%20density%20estimators n4:consistency%20in%20expected%20chi-squared-divergence n4:consistency%20in%20expected%20information%20divergence
n3:kodStatuVydavatele
ES - Španělské království
n3:kontrolniKodProRIV
[6ED1CDD7FDC5]
n3:nazevZdroje
Test
n3:obor
n14:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:projekt
n13:GA102%2F99%2F1137
n3:rokUplatneniVysledku
n11:2002
n3:svazekPeriodika
11
n3:tvurceVysledku
Biau, G. Berlinet, A. Beirlant, J. Vajda, Igor
n3:zamer
n17:AV0Z1075907
s:numberOfPages
27