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Matematicheskie Zametki, 2018, Volume 104, Issue 5, paper published in the English version journal (Mi mzm12342)  
Papers published in the English version of the journal

On Periodic Asymmetric Extrapolation

T. Boikoa, O. Karpenkova, B. Rakhimberdievb

a University of Liverpool, Liverpool, L693BX UK
b CheckMobile GmbH, Moscow, 115230 Russia
Abstract: In this paper, we develop a new technique for the asymmetric approximation of discrete functions arising in seasonal customer demand extrapolation. We adapt the technique for two different settings, the so-called pull and push models. Our main goal here is to find effectively extrapolations minimizing the loss. For both models, we discuss several features related to sampling, approximation, and extrapolation.
Keywords: periodic functions, approximation, pull and push models, maximizers.
Funding agency Grant number
Engineering and Physical Sciences Research Council EP/N014499/1 (LCMH)
The work of O. Karpenkov was supported in part by EPSRC grant EP/N014499/1 (LCMH).
Received: 18.08.2018
English version:
Mathematical Notes, 2018, Volume 104, Issue 5, Pages 642–654
DOI: https://doi.org/10.1134/S0001434618110044
Bibliographic databases:
Document Type: Article
Language: English
Citation: T. Boiko, O. Karpenkov, B. Rakhimberdiev, “On Periodic Asymmetric Extrapolation”, Math. Notes, 104:5 (2018), 642–654
Citation in format AMSBIB
\Bibitem{BoiKarRak18}
\by T.~Boiko, O.~Karpenkov, B.~Rakhimberdiev
\paper On Periodic Asymmetric Extrapolation
\jour Math. Notes
\yr 2018
\vol 104
\issue 5
\pages 642--654
\mathnet{http://mi.mathnet.ru/mzm12342}
\crossref{https://doi.org/10.1134/S0001434618110044}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=3898909}
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\elib{https://elibrary.ru/item.asp?id=38635046}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85059226396}
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