Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
Vassiliou, Panagiotis-Christos
Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (294 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2399-6 9783036523989 9783036523996
10.3390/books978-3-0365-2399-6 doi
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
Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 - 1 electronic resource (294 p.)
Open Access
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.
Creative Commons
English
books978-3-0365-2399-6 9783036523989 9783036523996
10.3390/books978-3-0365-2399-6 doi
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