Laws of large numbers for periodically and almost periodically correlated processes
This paper gives results related to and including laws of large numbers for (possibly non-harmonizable) periodically and almost periodically correlated processes. These results admit periodically correlated processes that are not continuous in quadratic mean. The idea of a stationarizing random shift is used to show that strong law results for weakly stationary processes may be used to obtain strong law results for such processes.
Year of publication: |
1994
|
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Authors: | Cambanis, S. ; Houdré, C. ; Hurd, H. ; Leskow, J. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 53.1994, 1, p. 37-54
|
Publisher: |
Elsevier |
Keywords: | Periodically and almost periodically correlated processes Laws of large numbers Stationarizing random shift |
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