Homogeneous random measures and strongly supermedian kernels of a Markov process.
Fitzsimmons, P.J., Getoor, R.K. (2003)
Electronic Journal of Probability [electronic only]
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Fitzsimmons, P.J., Getoor, R.K. (2003)
Electronic Journal of Probability [electronic only]
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Patrick J. Fitzsimmons (1988)
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Murali Rao (1980)
Séminaire de probabilités de Strasbourg
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R. K. Getoor, P. W. Millar (1972)
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Intuitively, an additive functional of a stochastic process gives a method to measure time taking into account the development of the process. We associate with any set of states the mathematical expectation of time belongs to . In this way, we establish to one-to-one correspondence between all the normal additive functionals of a Markov process and all the -finite measures on the state space which charge no inaccessible set. This is proved under the condition that transition...