Results 11 to 20 of about 31,071 (152)
Continuous time Markov chain approaches for analyzing transtheoretical models of health behavioral change: A case study and comparison of model estimations. [PDF]
Stat Methods Med Res, 2018 Ma J, Chan W, Tilley BC.
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Bitcoin Selfish Mining Modeling and Dependability Analysis [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 Blockchain technology has gained prominence over the last decade. Numerous achievements have been made regarding how this technology can be utilized in different aspects of the industry, market, and governmental departments.
Chencheng Zhou +3 more
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Markov Model of Cyber Attack Life Cycle Triggered by Software Vulnerability [PDF]
International Journal of Electronics and Telecommunications, 2021 Software vulnerability life cycles illustrate changes in detection processes of software vulnerabilities during using computer systems. Unfortunately, the detection can be made by cyber-adversaries and a discovered software vulnerability may be ...
Romuald Hoffmann
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Optimal control of multiple Markov-switching stochastic systems with numerical applications
Results in Control and Optimization, 2022 In this article the authors set up an optimal control framework for a hybrid stochastic system with dual or multiple Markov switching diffusion processes, while Markov chains governing these switching diffusions are not identical as assumed in the ...
Jianmin Shi
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Continuous-time controlled Markov chains
The Annals of Applied Probability, 2003 The authors consider continuous-time Markov decision processes with a denumerable state space and Borel action space where the cost and the transition rates are allowed to be unbounded. In the class of deterministic stationary policies they first give very weak conditions under which the existence of \(\varepsilon\)-optimal \((\varepsilon\geq 0 ...
Guo, Xianping +1 more
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Imprecise continuous-time Markov chains
International Journal of Approximate Reasoning, 2017 Continuous-time Markov chains are mathematical models that are used to describe the state-evolution of dynamical systems under stochastic uncertainty, and have found widespread applications in various fields. In order to make these models computationally tractable, they rely on a number of assumptions that may not be realistic for the domain of ...
Thomas Krak, Jasper De Bock, Arno Siebes
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Event-Chain Monte Carlo: Foundations, Applications, and Prospects
Frontiers in Physics, 2021 This review treats the mathematical and algorithmic foundations of non-reversible Markov chains in the context of event-chain Monte Carlo (ECMC), a continuous-time lifted Markov chain that employs the factorized Metropolis algorithm. It analyzes a number
Werner Krauth
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Healthcare Analytics, 2023 Malaria is the world’s most fatal and challenging parasitic disease, caused by the Plasmodium parasite and transmitted to humans by the bites of infected female mosquitos.
Asma Akter Akhi +3 more
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Analyzing the profit-loss sharing contracts with Markov model
Communications in Science and Technology, 2016 The purpose of this paper is to examine how to use first order Markov chain to build a reliable monitoring system for the profit-loss sharing based contracts (PLS) as the mode of financing contracts in Islamic bank with censored continuous-time ...
Imam Wahyudi, Ali Sakti
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Mathematics, 2023 In this paper it is shown, that if a possibly inhomogeneous Markov chain with continuous time and finite state space is weakly ergodic and all the entries of its intensity matrix are locally integrable, then, using available results from the perturbation
Yacov Satin +3 more
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