AbstractA variation principle which leads to the kinetic equation in a stochastic Markovian process is proposed. The variation function is the probability that a certain change of state occurs during a short time interval. Analogy between this variation procedure and the principle of minimum free energy in equilibrium statistical mechanics is pointed out
This paper proposes a model which allows for discrete stochastic breaks in the time-varying transiti...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
AbstractA variation principle which leads to the kinetic equation in a stochastic Markovian process ...
AbstractA theory of stochastic calculus of variations is presented which generalizes the ordinary ca...
In this thesis, we study the statistical properties of non-linear transforms of Markov processes.The...
ABSTRACT: We present a principled approach for estimat-ing the matrix of microscopic transition prob...
The group of problems with whioh we are concerned may be reduced to the consideration of a system wh...
AbstractThe paper introduces a new approach to dynamic modeling, using the variation principle, appl...
Understanding the fluctuations by which phenomenological evolution equations with thermodynamic stru...
We reconsider a nonlinear quantum kinetic theory which is built within the context of a nonequilibri...
The paper is concerned with some aspects of stochastic modelling in kinetic theory. First, an overvi...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
The process of fluctuations of trajectory observables of stochastic systems is associated with proce...
The most frequently used in physical application diffusive (based on the Fokker-Planck equation) mod...
This paper proposes a model which allows for discrete stochastic breaks in the time-varying transiti...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
AbstractA variation principle which leads to the kinetic equation in a stochastic Markovian process ...
AbstractA theory of stochastic calculus of variations is presented which generalizes the ordinary ca...
In this thesis, we study the statistical properties of non-linear transforms of Markov processes.The...
ABSTRACT: We present a principled approach for estimat-ing the matrix of microscopic transition prob...
The group of problems with whioh we are concerned may be reduced to the consideration of a system wh...
AbstractThe paper introduces a new approach to dynamic modeling, using the variation principle, appl...
Understanding the fluctuations by which phenomenological evolution equations with thermodynamic stru...
We reconsider a nonlinear quantum kinetic theory which is built within the context of a nonequilibri...
The paper is concerned with some aspects of stochastic modelling in kinetic theory. First, an overvi...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
The process of fluctuations of trajectory observables of stochastic systems is associated with proce...
The most frequently used in physical application diffusive (based on the Fokker-Planck equation) mod...
This paper proposes a model which allows for discrete stochastic breaks in the time-varying transiti...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
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