About: Disorder problem

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In the study of stochastic processes in mathematics, a disorder problem or quickest detection problem (formulated by Kolmogorov) is the problem of using ongoing observations of a stochastic process to detect as soon as possible when the probabilistic properties of the process have changed. This is a type of change detection problem. An example case is to detect the change in the drift parameter of a Wiener process.

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dbo:abstract	In the study of stochastic processes in mathematics, a disorder problem or quickest detection problem (formulated by Kolmogorov) is the problem of using ongoing observations of a stochastic process to detect as soon as possible when the probabilistic properties of the process have changed. This is a type of change detection problem. An example case is to detect the change in the drift parameter of a Wiener process. (en)
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rdfs:comment	In the study of stochastic processes in mathematics, a disorder problem or quickest detection problem (formulated by Kolmogorov) is the problem of using ongoing observations of a stochastic process to detect as soon as possible when the probabilistic properties of the process have changed. This is a type of change detection problem. An example case is to detect the change in the drift parameter of a Wiener process. (en)
rdfs:label	Disorder problem (en)
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