Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields

doi:10.3390/books978-3-0365-2399-6

Download Url(s)

https://mdpi.com/books/pdfview/book/4670

Contributor(s)

Vassiliou, Panagiotis-Christos (editor)

Georgiou, Andreas C. (editor)

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/77055

Keywords

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