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 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.