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Non-Markov stochastic dynamics of real epidemic process of respiratory infections track infections (ARTI) by means of the theory of discrete non-Markov stochastic processes. We use

Age-related alterations of relaxation processes and non-Markov effects in stochastic dynamics of R-R intervals variability from human ECGs of the study of non-Markovian effects. The age dynamics of relaxation processes is quantitatively described

Universal approach to overcoming nonstationarity, unsteadiness and non-Markovity of stochastic processes in complex systems, unsteadiness and non-Markovity of discrete stochastic processes in complex systems. We consider statistical

Age-related alterations of relaxation processes and non-Markov effects in stochastic dynamics of R-R intervals variability from human ECGs of the study of non-Markovian effects. The age dynamics of relaxation processes is quantitatively described

Non-Markov stochastic dynamics of real epidemic process of respiratory infections track infections (ARTI) by means of the theory of discrete non-Markov stochastic processes. We use

Dynamical Shannon entropy and information Tsallis entropy in complex systems people and patients with myocardial infarction (MI) as an example. Various modifications of the non-Markovity

Stratification of the phase clouds and statistical effects of the non-Markovity in chaotic time series of human gait for healthy people and Parkinson patients in studying human gait dynamics with the help of the theory of discrete non-Markov random processes (Phys. Rev

Regular and stochastic behavior of Parkinsonian pathological tremor signals is studied on the basis of the statistical theory of discrete non-Markov stochastic processes and flicker

Non-Markov stochastic dynamics of real epidemic process of respiratory infections track infections (ARTI) by means of the theory of discrete non-Markov stochastic processes. We use

Application of a markov process as a method of modeling the development process from the perspective of the situational approach. It is shown the possibility of using Markov process as a method of modeling the development of complex open

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