Titlebook: Excessive Measures; R. K. Getoor Book 1990 Birkhäuser Boston 1990 Hypothese.Markov process.Martingal.Martingale.random measure

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Tempor

Kuznetsov Measures,In this section we are going to introduce a very powerful tool for the study of excessive measures. Unfortunately it is necessary to make a supplementary hypothesis (see (6.2) below) on our right process .. However, before coming to that we introduce a generalization of an entrance law as defined in (5.24).

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Homogeneous Random Measures,For the first part of this section we do . suppose that condition (6.2) holds. Thus . is an arbitrary right process as in §1. In the following definition ℝ.:=]0, ∞[ and . denotes the .-algebra of Borel subsets of ℝ..

Decrepit

Flows and Palm Measures,Portions of the material developed in sections 6 and 8 make sense in the more general context of a measure preserving flow without any Markovian structure. We shall develop some of these ideas in this section and apply them to Markov processes in §10. We shall use the notation of our main application—the flow associated with a Kuznetsov measure.

Anguish

Probability and Its Applicationshttp://image.papertrans.cn/e/image/318337.jpg

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https://doi.org/10.1007/978-1-4612-3470-8Hypothese; Markov process; Martingal; Martingale; random measure

OWL

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