Let N( t ) be a finite semi-Markov process on π© and let X ( t ) be the associated age process. Of interest is the counting process M ( t ) for transitions of the semi-Markov process from a subset G of π© to another subset B where π© = B βͺ G and B β© G = β . By studying the trivariate process Y ( t ) = [ N ( t ), M ( t ), X ( t )] in its state space, new transform results are derived. By taking M ( t ) as a marginal process of Y ( t ), the Laplace transform generating function of M ( t ) is then obtained. Furthermore, this result is recaptured in the context of first-passage times of the semi-Markov process, providing a simple probabilistic interpretation. The asymptotic behavior of the moments of M ( t ) as t β β is also discussed. In particular, an asymptotic expansion for E [ M ( t )] and the limit for Var [ M ( t )] /t as t β β are given explicitly.
No takes yet. Share an insight, caveat, or question.
Masuda et al. (1987) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: