Generalized moving extrapolation of stochastic processes based on the totality of continuous and discrete observations with memory

N. S. Demin, O. V. Rozhkova, S. V. Rozhkova

Отделение математики и информатики

Результат исследований: Материалы для журнала › Статья

Аннотация

The problem of simultaneous moving extrapolation (forecast, prediction) is considered or stochastic processes with continuous time at an arbitrary number of future instants based on the totality of realizations of processes with continuous and discrete time, which depend on both the current and the past values of a nonobserved process.

Язык оригинала	Английский
Страницы (с-по)	523-535
Число страниц	13
Журнал	Journal of Computer and Systems Sciences International
Том	39
Номер выпуска	4
Состояние	Опубликовано - 2000

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Human-Computer Interaction
Control and Systems Engineering
Theoretical Computer Science

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Demin, N. S., Rozhkova, O. V., & Rozhkova, S. V. (2000). Generalized moving extrapolation of stochastic processes based on the totality of continuous and discrete observations with memory. Journal of Computer and Systems Sciences International, 39(4), 523-535.

Generalized moving extrapolation of stochastic processes based on the totality of continuous and discrete observations with memory. / Demin, N. S.; Rozhkova, O. V.; Rozhkova, S. V.

В: Journal of Computer and Systems Sciences International, Том 39, № 4, 2000, стр. 523-535.

Результат исследований: Материалы для журнала › Статья

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