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

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

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 resear...

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Bibliographic Details
Other Authors: Vassiliou, Panagiotis-Christos (Editor), Georgiou, Andreas C. (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
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
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