An Estimation of Function in Gaussian Stationary Noise

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An Estimation of Function in Gaussian Stationary Noise : New Spectral Condition. / Solev, V. N.

In: Journal of Mathematical Sciences (United States), Vol. 251, No. 1, 01.11.2020, p. 147-154.

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

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Solev, V. N. / An Estimation of Function in Gaussian Stationary Noise : New Spectral Condition. In: Journal of Mathematical Sciences (United States). 2020 ; Vol. 251, No. 1. pp. 147-154.

BibTeX

@article{732065df27ab4c3cbe65bc9d108d4320,

title = "An Estimation of Function in Gaussian Stationary Noise: New Spectral Condition",

abstract = "Lower and upper bounds are constructed for the minimax risk in the problem of estimating unknown pseudo-periodic function observed in stationary noise with spectral density satisfying new spectral conditions.",

author = "Solev, {V. N.}",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Science+Business Media, LLC, part of Springer Nature.",

year = "2020",

month = nov,

day = "1",

doi = "10.1007/s10958-020-05075-7",

language = "English",

volume = "251",

pages = "147--154",

journal = "Journal of Mathematical Sciences",

issn = "1072-3374",

publisher = "Springer Nature",

number = "1",

}

RIS

TY - JOUR

T1 - An Estimation of Function in Gaussian Stationary Noise

T2 - New Spectral Condition

AU - Solev, V. N.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - Lower and upper bounds are constructed for the minimax risk in the problem of estimating unknown pseudo-periodic function observed in stationary noise with spectral density satisfying new spectral conditions.

AB - Lower and upper bounds are constructed for the minimax risk in the problem of estimating unknown pseudo-periodic function observed in stationary noise with spectral density satisfying new spectral conditions.

UR - http://www.scopus.com/inward/record.url?scp=85092528616&partnerID=8YFLogxK

U2 - 10.1007/s10958-020-05075-7

DO - 10.1007/s10958-020-05075-7

M3 - Article

AN - SCOPUS:85092528616

VL - 251

SP - 147

EP - 154

JO - Journal of Mathematical Sciences

JF - Journal of Mathematical Sciences

SN - 1072-3374

IS - 1

ER -

ID: 87270927