Components of the Strong Markov Property
The strong Markov property of a process X at an optional time π < ∞ may be thought of as a combination of the conditional independence XT+hM-xrFT with the homogeneity for a suitable set of probability kernels. In an earlier paper, a stronger version of the latter condition was shown to imply the former property. Our present aim is to examine to what extent the two properties are in fact equivalent
KeywordsHomogeneity Condition Conditional Independence Markov Property Optional Time Conditional Inde
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