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: