A fast mode estimator in multidimensional space

Standard

A fast mode estimator in multidimensional space. / Ruzankin, Pavel S.; Logachov, Artem V.

In: Statistics and Probability Letters, Vol. 158, 108670, 01.03.2020.

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

Harvard

Ruzankin, PS & Logachov, AV 2020, 'A fast mode estimator in multidimensional space', Statistics and Probability Letters, vol. 158, 108670. https://doi.org/10.1016/j.spl.2019.108670

APA

Ruzankin, P. S., & Logachov, A. V. (2020). A fast mode estimator in multidimensional space. Statistics and Probability Letters, 158, [108670]. https://doi.org/10.1016/j.spl.2019.108670

Vancouver

Ruzankin PS, Logachov AV. A fast mode estimator in multidimensional space. Statistics and Probability Letters. 2020 Mar 1;158:108670. doi: 10.1016/j.spl.2019.108670

Author

Ruzankin, Pavel S. ; Logachov, Artem V. / A fast mode estimator in multidimensional space. In: Statistics and Probability Letters. 2020 ; Vol. 158.

BibTeX

@article{581bfd6cb2ad4040b760eba968fbee08,

title = "A fast mode estimator in multidimensional space",

abstract = "A nonparametric mode estimator is proposed. For n points sampled from a unimodal distribution in Rd, the estimator has time complexity O(dn), without any pruning of the observations. Consistency and strong consistency of the estimator are proved under certain conditions.",

keywords = "Multidimensional space, Nonparametric mode estimator, ROBUST ESTIMATORS, EMPIRICAL PROCESSES, EFFICIENT ESTIMATION",

author = "Ruzankin, {Pavel S.} and Logachov, {Artem V.}",

year = "2020",

month = mar,

day = "1",

doi = "10.1016/j.spl.2019.108670",

language = "English",

volume = "158",

journal = "Statistics and Probability Letters",

issn = "0167-7152",

publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - A fast mode estimator in multidimensional space

AU - Ruzankin, Pavel S.

AU - Logachov, Artem V.

PY - 2020/3/1

Y1 - 2020/3/1

N2 - A nonparametric mode estimator is proposed. For n points sampled from a unimodal distribution in Rd, the estimator has time complexity O(dn), without any pruning of the observations. Consistency and strong consistency of the estimator are proved under certain conditions.

AB - A nonparametric mode estimator is proposed. For n points sampled from a unimodal distribution in Rd, the estimator has time complexity O(dn), without any pruning of the observations. Consistency and strong consistency of the estimator are proved under certain conditions.

KW - Multidimensional space

KW - Nonparametric mode estimator

KW - ROBUST ESTIMATORS

KW - EMPIRICAL PROCESSES

KW - EFFICIENT ESTIMATION

UR - http://www.scopus.com/inward/record.url?scp=85074177839&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2019.108670

DO - 10.1016/j.spl.2019.108670

M3 - Article

AN - SCOPUS:85074177839

VL - 158

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

M1 - 108670

ER -

ID: 21996204