Minimax and pointwise sequential changepoint detection and identification for general stochastic models

This paper considers the problem of joint change detection and identification assuming multiple composite post-change hypotheses. We propose a multihypothesis changepoint detection-identification procedure that controls the probabilities of false alarm and wrong identification. We show that the prop...

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Опубликовано в: :Journal of multivariate analysis Vol. 190. P. 104977
Главный автор: Pergamenshchikov, Serguei M.
Другие авторы: Tartakovsky, Alexander G., Spivak, Valentin S.
Формат: Статья в журнале
Язык:English
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Online-ссылка:http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001000951

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