We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)
Article purchase
Temporarily unavailable
References
[1]
[1]Blumenthal, R. M. and Getoor, R. K. (1968) Markov Processes and Potential Theory.Academic Press, New York.Google Scholar
[2]
[2]Chung, K. L. (1967) Markov Chains with Stationary Transition Probabilities.Springer-Verlag, Berlin.Google Scholar
[3]
[3]Cohen, J. W. (1962) Derived Markov chains. Nederl. Akad. Wetensch. Proc. Ser. A65, 55–92.Google Scholar
[4]
[4]Dynkin, E. B. (1965) Markov Processes.Springer-Verlag, Berlin.Google Scholar
[5]
[5]Feller, W. (1966) An Introduction to Probability Theory and its Applications, Vol. 2. Wiley, New York.Google Scholar
[6]
[6]Kingman, J. F. C. (1963) Poisson counts for random sequences of events. Ann. Math. Statist.34, 1217–1232.Google Scholar
[7]
[7]Meyer, P. A. (1966) Probability and Potentials.Blaisdell, New York.Google Scholar
[8]
[8]Rolin, J. M. (1975) The inverse of a continuous additive functional. Pacific J. Math.58, 585–604.Google Scholar
[9]
[9]Syski, R. (1977) Perturbation models. Stoch. Proc. Appl.5, 93–129.Google Scholar