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On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities. / Kartashov, Andrei Sergeevich; Sakhanenko, Alexander Ivanovich.

In: Сибирские электронные математические известия, Vol. 15, 01.01.2018, p. 1530-1552.

Research output: Contribution to journal › Article › peer-review

Harvard

Kartashov, AS & Sakhanenko, AI 2018, 'On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities', Сибирские электронные математические известия, vol. 15, pp. 1530-1552. https://doi.org/10.33048/semi.2018.15.127

APA

Kartashov, A. S., & Sakhanenko, A. I. (2018). On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities. Сибирские электронные математические известия, 15, 1530-1552. https://doi.org/10.33048/semi.2018.15.127

Vancouver

Kartashov AS, Sakhanenko AI. On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities. Сибирские электронные математические известия. 2018 Jan 1;15:1530-1552. doi: 10.33048/semi.2018.15.127

Author

Kartashov, Andrei Sergeevich ; Sakhanenko, Alexander Ivanovich. / On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities. In: Сибирские электронные математические известия. 2018 ; Vol. 15. pp. 1530-1552.

BibTeX

@article{5b886118c50c4b5985a7594d7f035f2d,
title = "On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities",
abstract = "Recently E. Gine, V. Koltchinskii and L. Sakhanenko (Ann. Probab., 2004) investigated necessary and sufficient conditions for weak convergence to the double exponential distribution of a normalized random variable supt∈ℝ",
keywords = "Brownian motion, Function of bounded variation, Kernel density estimators, kernel density estimators, brownian motion, function of bounded variation",
author = "Kartashov, {Andrei Sergeevich} and Sakhanenko, {Alexander Ivanovich}",
year = "2018",
month = jan,
day = "1",
doi = "10.33048/semi.2018.15.127",
language = "English",
volume = "15",
pages = "1530--1552",
journal = "Сибирские электронные математические известия",
issn = "1813-3304",
publisher = "Sobolev Institute of Mathematics",

}

RIS

TY - JOUR

T1 - On sufficient conditions for a gaussian approximation of kernel estimates for distribution densities

AU - Kartashov, Andrei Sergeevich

AU - Sakhanenko, Alexander Ivanovich

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Recently E. Gine, V. Koltchinskii and L. Sakhanenko (Ann. Probab., 2004) investigated necessary and sufficient conditions for weak convergence to the double exponential distribution of a normalized random variable supt∈ℝ

AB - Recently E. Gine, V. Koltchinskii and L. Sakhanenko (Ann. Probab., 2004) investigated necessary and sufficient conditions for weak convergence to the double exponential distribution of a normalized random variable supt∈ℝ

KW - Brownian motion

KW - Function of bounded variation

KW - Kernel density estimators

KW - kernel density estimators

KW - brownian motion

KW - function of bounded variation

UR - http://www.scopus.com/inward/record.url?scp=85074778650&partnerID=8YFLogxK

UR - https://www.elibrary.ru/item.asp?id=36998760

U2 - 10.33048/semi.2018.15.127

DO - 10.33048/semi.2018.15.127

M3 - Article

AN - SCOPUS:85074778650

VL - 15

SP - 1530

EP - 1552

JO - Сибирские электронные математические известия

JF - Сибирские электронные математические известия

SN - 1813-3304

ER -

ID: 22316566