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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/291859
Title: Modifications of the imputation method for parameter estimation of censored autoregressive time series
Authors: Tsirul, E. A.
Badziahin, I. A.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2022
Publisher: Minsk : BSU
Citation: Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIII Intern. Conf., Minsk, Sept. 6–10, 2022 / Belarusian State University ; eds.: Yu. Kharin [et al.]. – Minsk : BSU, 2022. – Pp. 202-204.
Abstract: Imputation method for parameter estimation of censored autoregressive time series is considered. It is shown that imputation algorithm requires large amount of computational resources, when a significant number of observations are censored. Some modifications of the method are proposed to improve the calculation speed by a small loss in accuracy. Some numerical experiments are provided to illustrate obtained results
URI: https://elib.bsu.by/handle/123456789/291859
ISBN: 978-985-881-420-5
Licence: info:eu-repo/semantics/restrictedAccess
Appears in Collections:2022. Computer Data Analysis and Modeling: Stochastics and Data Science

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