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Title: Intermittent estimation for finite alphabet finitarily Markovian processes with exponential tails (English)
Author: Morvai, Gusztáv
Author: Weiss, Benjamin
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 57
Issue: 4
Year: 2021
Pages: 628-646
Summary lang: English
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Category: math
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Summary: We give some estimation schemes for the conditional distribution and conditional expectation of the the next output following the observation of the first $n$ outputs of a stationary process where the random variables may take finitely many possible values. Our schemes are universal in the class of finitarily Markovian processes that have an exponential rate for the tail of the look back time distribution. In addition explicit rates are given. A necessary restriction is that the scheme proposes an estimate only at certain stopping times, but these have density one so that one rarely fails to give an estimate. (English)
Keyword: nonparametric estimation
Keyword: stationary processes
MSC: 60G10
MSC: 60G25
MSC: 62G05
idZBL: Zbl 07478632
idMR: MR4332885
DOI: 10.14736/kyb-2021-4-0628
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Date available: 2021-11-04T12:57:30Z
Last updated: 2022-02-24
Stable URL: http://hdl.handle.net/10338.dmlcz/149212
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