On stable Markov processes
Necessary conditions are given for a symmetric [alpha]-stable (S[alpha]S) process, 1 < [alpha] < 2, to be Markov. These conditions are then applied to find Markov or weakly Markov processes within certain important classes of S[alpha]S processes: time changed Lévy motion, scale mixed Gaussian processes, moving averages and harmonizable processes. Two stationary S[alpha]S Markov processes are introduced, the right and the left S[alpha]S Ornstein-Uhlenbeck processes. Some of the results are in sharp contrast to the Gaussian case [alpha] = 2.
Year of publication: |
1990
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Authors: | Adler, Robert J. ; Cambanis, Stamatis ; Samorodnitsky, Gennady |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 34.1990, 1, p. 1-17
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Publisher: |
Elsevier |
Keywords: | Markoc and weakly Markov stable processes time changed Lévy motion sub-Gaussian and harmonizable processes moving averages left and right stable Ornstein-Unlenbeck processes stable conditional distributions |
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