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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/51934
Title: Long-memory discrete-valued time series: models and methods
Authors: Kharin, Yu. S.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
Issue Date: 2013
Publisher: Minsk : Publ. center of BSU
Citation: Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 1. — Minsk, 2013. — P. 64-71
Abstract: Discrete-valued time series with long memory are considered. To avoid the “curse of dimensionality” of the parameter space we propose to use the parsimo- nious models of high-order Markov chains that are determined by small number of parameters. Methods for statistical analysis of these models are developed and illustrated on simulated and real statistical data.
URI: http://elib.bsu.by/handle/123456789/51934
Appears in Collections:Статьи факультета прикладной математики и информатики
2013. Computer Data Analysis and Modeling. Vol 1
Vol. 1

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