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Poisson hidden Markov model : ウィキペディア英語版 | Poisson hidden Markov model
In statistics, Poisson hidden Markov models (PHMM) are a special case of hidden Markov models where a Poisson process has a rate which varies in association with changes between the different states of a Markov model. PHMMs are not necessarily Markovian processes themselves because the underlying Markov chain or Markov process cannot be observed and only the Poisson signal is observed. ==See also==
* Doubly stochastic model * Cox process
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Poisson hidden Markov model」の詳細全文を読む
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