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Semipullbacks of labelled Markov processes [PDF]
A labelled Markov process (LMP) consists of a measurable space $S$ together with an indexed family of Markov kernels from $S$ to itself. This structure has been used to model probabilistic computations in Computer Science, and one of the main problems in
Jan Pachl, Pedro Sánchez Terraf
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Cardiovascular diseases have become extremely prevalent in the global population. Several accurate classification methods for arrhythmias have been proposed in the healthcare literature.
Swetha Rameshbabu, Sabitha Ramakrishnan
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We construct a family of genealogy-valued Markov processes that are induced by a continuous-time Markov population process. We derive exact expressions for the likelihood of a given genealogy conditional on the history of the underlying population process.
Aaron A. King +2 more
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Markov two-components processes [PDF]
We propose Markov two-components processes (M2CP) as a probabilistic model of asynchronous systems based on the trace semantics for concurrency. Considering an asynchronous system distributed over two sites, we introduce concepts and tools to manipulate ...
Samy Abbes
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The Evolution of the Sickle Cell Anaemia in the Region of Kinshasa: a Mathematic Modelling
We attempt to study the evolution of the sickle cell anaemia in the region of Kinshasa by proposing three models based on Markov processes. The first two models namely, the idealistic and the quasi- idealistic models fail to completely describe the data
R.Gilles Bokolo +3 more
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Application of Markov processes for analysis and control of aircraft maintainability
The process of aircraft operation involves constant effects of various factors on its components leading to accidental or systematic changes in their technical condition.
Yu. M. Chinyuchin, A. S. Solov'ev
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Markov and Semi-Markov Chains, Processes, Systems, and Emerging Related Fields
Probability resembles the ancient Roman God Janus since, like Janus, probability also has a face with two different sides, which correspond to the metaphorical gateways and transitions between the past and the future [...]
P.-C.G. Vassiliou, Andreas C. Georgiou
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Geometric branching reproduction Markov processes
We present a model of a continuous-time Markov branching process with the infinitesimal generating function defined by the geometric probability distribution.
Assen Tchorbadjieff, Penka Mayster
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Markov-modulated affine processes
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Kevin Kurt, Rüdiger Frey
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Background. In the conditions of modern military conflicts, the problem of effective control of large groups of robots is actualized. The large amount of data associated with the operation of robotic systems (RC) determines the existence of ...
S.V. Ivanov +3 more
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