ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE. / Gannaz, Irene; Wintenberger, Olivier.

In: E S A I M: Probability & Statistics, Vol. 14, 01.2010, p. 151-172.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Gannaz, I & Wintenberger, O 2010, 'ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE', E S A I M: Probability & Statistics, vol. 14, pp. 151-172. https://doi.org/10.1051/ps:2008025

APA

Gannaz, I., & Wintenberger, O. (2010). ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE. E S A I M: Probability & Statistics, 14, 151-172. https://doi.org/10.1051/ps:2008025

Vancouver

Gannaz I, Wintenberger O. ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE. E S A I M: Probability & Statistics. 2010 Jan;14:151-172. https://doi.org/10.1051/ps:2008025

Author

Gannaz, Irene ; Wintenberger, Olivier. / ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE. In: E S A I M: Probability & Statistics. 2010 ; Vol. 14. pp. 151-172.

Bibtex

@article{b566f11c5c454ee09bcf6f96dcd8c60c,
title = "ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE",
keywords = "Adaptive estimation, cross validation, hard thresholding, near minimax results, nonparametric density estimation, soft thresholding, wavelets, weak dependence",
author = "Irene Gannaz and Olivier Wintenberger",
year = "2010",
month = jan,
doi = "10.1051/ps:2008025",
language = "English",
volume = "14",
pages = "151--172",
journal = "ESAIM - Probability and Statistics",
issn = "1292-8100",
publisher = "E D P Sciences",

}

RIS

TY - JOUR

T1 - ADAPTIVE DENSITY ESTIMATION UNDER WEAK DEPENDENCE

AU - Gannaz, Irene

AU - Wintenberger, Olivier

PY - 2010/1

Y1 - 2010/1

KW - Adaptive estimation

KW - cross validation

KW - hard thresholding

KW - near minimax results

KW - nonparametric density estimation

KW - soft thresholding

KW - wavelets

KW - weak dependence

U2 - 10.1051/ps:2008025

DO - 10.1051/ps:2008025

M3 - Journal article

VL - 14

SP - 151

EP - 172

JO - ESAIM - Probability and Statistics

JF - ESAIM - Probability and Statistics

SN - 1292-8100

ER -

ID: 135498486