On large deviations in estimation problem with dependent observations

The paper is devoted to the stochastic optimization problem with a stationary ergodic
 random sequence satisfying the hypermixing condition. It is assumed that we have
 the finite number of observed elements in the sequence, and instead of solving the
 former problem we invest...

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Datum:2005
Hauptverfasser: Knopov, P.S., Kasitskaya, E.J.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут математики НАН України 2005
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/4430
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:On large deviations in estimation problem with dependent observations / P.S. Knopov, E.J. Kasitskaya // Theory of Stochastic Processes. — 2005. — Т. 11 (27), № 3-4. — С. 97–103. — Бібліогр.: 4 назв.— англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Knopov, P.S.
Kasitskaya, E.J.
author_facet Knopov, P.S.
Kasitskaya, E.J.
citation_txt On large deviations in estimation problem with dependent observations / P.S. Knopov, E.J. Kasitskaya // Theory of Stochastic Processes. — 2005. — Т. 11 (27), № 3-4. — С. 97–103. — Бібліогр.: 4 назв.— англ.
collection DSpace DC
description The paper is devoted to the stochastic optimization problem with a stationary ergodic
 random sequence satisfying the hypermixing condition. It is assumed that we have
 the finite number of observed elements in the sequence, and instead of solving the
 former problem we investigate the empirical function, find its points of minimum,
 and study their asymptotic properties. More precisely we consider the probabilities
 of large deviations of minimizers and the minimal value of the empirical criterion
 function from the corresponding characteristics of the main problem. The conditions
 under which the probabilities of the large deviations decrease exponentially are found.
first_indexed 2025-12-07T18:10:50Z
format Article
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
issn 0321-3900
language English
last_indexed 2025-12-07T18:10:50Z
publishDate 2005
publisher Інститут математики НАН України
record_format dspace
spelling Knopov, P.S.
Kasitskaya, E.J.
2009-11-09T15:35:24Z
2009-11-09T15:35:24Z
2005
On large deviations in estimation problem with dependent observations / P.S. Knopov, E.J. Kasitskaya // Theory of Stochastic Processes. — 2005. — Т. 11 (27), № 3-4. — С. 97–103. — Бібліогр.: 4 назв.— англ.
0321-3900
https://nasplib.isofts.kiev.ua/handle/123456789/4430
519.21
The paper is devoted to the stochastic optimization problem with a stationary ergodic
 random sequence satisfying the hypermixing condition. It is assumed that we have
 the finite number of observed elements in the sequence, and instead of solving the
 former problem we investigate the empirical function, find its points of minimum,
 and study their asymptotic properties. More precisely we consider the probabilities
 of large deviations of minimizers and the minimal value of the empirical criterion
 function from the corresponding characteristics of the main problem. The conditions
 under which the probabilities of the large deviations decrease exponentially are found.
en
Інститут математики НАН України
On large deviations in estimation problem with dependent observations
Article
published earlier
spellingShingle On large deviations in estimation problem with dependent observations
Knopov, P.S.
Kasitskaya, E.J.
title On large deviations in estimation problem with dependent observations
title_full On large deviations in estimation problem with dependent observations
title_fullStr On large deviations in estimation problem with dependent observations
title_full_unstemmed On large deviations in estimation problem with dependent observations
title_short On large deviations in estimation problem with dependent observations
title_sort on large deviations in estimation problem with dependent observations
url https://nasplib.isofts.kiev.ua/handle/123456789/4430
work_keys_str_mv AT knopovps onlargedeviationsinestimationproblemwithdependentobservations
AT kasitskayaej onlargedeviationsinestimationproblemwithdependentobservations