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- W3080859639 abstract "Mixture-based algorithms are proposed for detecting a change in the distribution of a statistically periodic process in multislot and multistream settings. In the multislot change detection problem, the distribution of the observed process can change in any subset of time slots in each period. In the multistream change detection problem, there are parallel streams of observations, and the change can affect an arbitrary subset of streams. It is shown that the algorithms are asymptotically optimal in a Bayesian setting." @default.
- W3080859639 created "2020-09-01" @default.
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- W3080859639 date "2020-06-01" @default.
- W3080859639 modified "2023-10-01" @default.
- W3080859639 title "Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes" @default.
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- W3080859639 doi "https://doi.org/10.1109/isit44484.2020.9174470" @default.
- W3080859639 hasPublicationYear "2020" @default.
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