How can stochastic models analyze the performance of complex service systems?

Renewal processes are broadly used to model stochastic behavior consisting of isolated events separated by periods of quiescence, whose durations are ... ... process, Positive dependence, Restarting property, Stochastic properties", ... Informational Sciences. https://doi.org/10.1017/S0269964824000111. An ... ... Stochastic Markov Processes in Reliability”, (with A. Ay, J. Landon and S. Ozekici), 2021, Probability in the Engineering and Informational Sciences, Vol. Feb 20, 2007 ... Efficient tools to characterize stochastic processes are discussed. Quantifiers originally proposed within the framework of information ... ... stochastic process, whether the original process is Markovian or not. ... information sharing called "informational coherence". Informational coherence, in ... Also, as we shall point out, mutual information corresponds to the increase in the doubling rate of wealth given side information. ... random processes such as ... We explore the effect on investment quantity in this real option regulation under various assumptions on the stochastic process for revenues. On the one ... If the stochastic process representing the belief over f is sufficiently regular, then Equation (1) can be approximated arbitrarily well with finitely many ... ... stochastic processes or theoretical models. With the development of transfer ... In the bivariate case, information flow from process J to process I is ... Mar 9, 2023 ... [44] for the general Markov process. This result also gives another link between information geometry in the space of path probability densities ...