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Feedback Particle Filter for a Continuous-Time Markov Chain
IEEE Transactions on Automatic Control, 2016Tao Yang, P. Mehta, Sean P. Meyn
semanticscholar +1 more source
1997
In this chapter, we consider the continuous-time analogs of discrete-time Markov chains. As in the discrete-time case, they are characterized by the Markov property that, given the present state, the future of the process is stochastically independent of the past.
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In this chapter, we consider the continuous-time analogs of discrete-time Markov chains. As in the discrete-time case, they are characterized by the Markov property that, given the present state, the future of the process is stochastically independent of the past.
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Hybrid modified continuous time Markov chain model for daily streamflow generation
Journal of Hydrology, 2022K Srinivasan
exaly
Continuous Time Markov Chain Based Reliability Analysis for Future Cellular Networks
Global Communications Conference, 2014H. Farooq, Md. Salik Parwez, A. Imran
semanticscholar +1 more source
2002
WE TURN now to the continuous time version of the Markov property. Some of the simplicity of Chapter 2 is retained, because we assume the state space S is discrete. Usually we can suppose that S = {0, 1, … }. The succession of states visited still follows a discrete parameter Markov chain but now the flow of time is perturbed by exponentially ...
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WE TURN now to the continuous time version of the Markov property. Some of the simplicity of Chapter 2 is retained, because we assume the state space S is discrete. Usually we can suppose that S = {0, 1, … }. The succession of states visited still follows a discrete parameter Markov chain but now the flow of time is perturbed by exponentially ...
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2019
The first part of this chapter presented the definition of a continuous-time Markov chain with two properties, and the introduction of a B&D process with some special examples such as homogeneous Poisson process as a pure birth process, and the population model as a B&D process.
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The first part of this chapter presented the definition of a continuous-time Markov chain with two properties, and the introduction of a B&D process with some special examples such as homogeneous Poisson process as a pure birth process, and the population model as a B&D process.
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