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This book covers a broad range of research results in the field of Markov and Semi-Markov chains, processes, systems and related emerging fields. The authors of the included research papers are well-known researchers in their field. The book presents the state-of-the-art and ideas for further research for theorists in the fields. Nonetheless, it also provides straightforwardly applicable results for diverse areas of practitioners.

Research & information: general --- Mathematics & science --- Monte Carlo --- MCMC --- Markov chains --- computational statistics --- bayesian inference --- Non-Homogeneous Markov Systems --- Markov Set Systems --- limiting set --- tail expectation --- asymptotic bound --- quasi-asymptotic independence --- heavy-tailed distribution --- dominated variation --- copula --- branching process --- migration --- continuous time --- generating function --- period-life --- reliability --- redundant systems --- preventive maintenance --- multiple vacations --- process mining --- process modelling --- phase-type models --- process target compliance --- particle filter --- missing data --- single imputation --- impoverishment --- Markov Systems --- open population Markov chain models --- Semi-Markov processes --- controllable Markov jump processes --- compound Poisson processes --- diffusion limits --- stochastic control problem with incomplete information --- novel queuing models in applications --- semi-Markov model --- Markov model --- hybrid semi-Markov model --- manpower planning --- semi-Markov modeling --- occupancy --- first passage time --- duration --- non-homogeneity --- DNA sequences --- state space model --- Kalman filter --- constrained optimization --- two-sided components --- basketball --- Markov chain --- second order --- off-ball screens --- performance --- semi-Markov --- transient analysis --- asymptotic analysis --- n/a