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Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
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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.
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Keywords
- asymptotic analysis
- asymptotic bound
- Basketball
- Bayesian inference
- branching process
- compound Poisson processes
- computational statistics
- Constrained optimization
- continuous time
- controllable Markov jump processes
- Copula
- diffusion limits
- DNA sequences
- dominated variation
- Duration
- first passage time
- generating function
- heavy-tailed distribution
- hybrid semi-Markov model
- impoverishment
- Kalman filter
- limiting set
- Manpower planning
- Markov chain
- Markov chains
- Markov model
- Markov Set Systems
- Markov Systems
- Mathematics & science
- MCMC
- migration
- missing data
- Monte Carlo
- multiple vacations
- n/a
- non-homogeneity
- Non-Homogeneous Markov Systems
- novel queuing models in applications
- occupancy
- off-ball screens
- open population Markov chain models
- Particle Filter
- Performance
- period-life
- phase-type models
- preventive maintenance
- process mining
- process modelling
- process target compliance
- quasi-asymptotic independence
- redundant systems
- Reference, information & interdisciplinary subjects
- Reliability
- Research & information: general
- second order
- semi-Markov
- semi-Markov model
- semi-Markov modeling
- Semi-Markov processes
- single imputation
- state space model
- stochastic control problem with incomplete information
- tail expectation
- transient analysis
- two-sided components
Links
DOI: 10.3390/books978-3-0365-2399-6Editions