Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: IOP Publishing Ltd; 7 September 2020 through 9 September 2020; 7 September 2020 through 9 September 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1680/1/012008

Аннотация: The article considers a new approach to forecasting of distributional time series based on computational probabilistic analysis. Functional data analysis and symbolic data analysis are currently used to study such data. A comparison of these approaches is given. Computational probabilistic analysis to forecasting of distributional Показать полностьюtime series uses special numerical operations on probability density functions. The article provides numerical examples of the analysis of distributional time series. © Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1680, Is. 1

ISSN журнала: 00165880

• Dobronets B.S. (Institute of Space and Information Technology, Siberian Federal University, Kirenskogo 26, Krasnoyarsk, 660074, Russian Federation)
• Popova O.A. (Institute of Space and Information Technology, Siberian Federal University, Kirenskogo 26, Krasnoyarsk, 660074, Russian Federation)

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• Ядро РИНЦ (eLIBRARY.RU)