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Intensity of counting processes : ウィキペディア英語版
Intensity of counting processes

The intensity \lambda of a counting process is a measure of the rate of change of its predictable part. If a stochastic process \ is a counting process, then it is a submartingale, and in particular its Doob-Meyer decomposition is
:N(t) = M(t) + \Lambda(t)
where M(t) is a martingale and \Lambda(t) is a predictable increasing process. \Lambda(t) is called the cumulative intensity of N(t) and it is related to \lambda by
:\Lambda(t) = \int_^ \lambda(s)ds.
==Definition==

Given probability space (\Omega, \mathcal, \mathbb) and a counting process \ which is adapted to the filtration \, the intensity of N is the process \ defined by the following limit:
: \lambda(t) = \lim_ \frac \mathbb(- N(t) | \mathcal_t ) .
The right-continuity property of counting processes allows us to take this limit from the right.〔Aalen, O. (1978). Nonparametric inference for a family of counting processes. ''The Annals of Statistics'', 6(4):701-726. 〕

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