The statistical properties of stable non-Gaussian stochastic processes are briefiy discussed. A physical approach is used to solve the paradox of Lévy stable probability density with infinite variance observed in experiments and simulations of physical systems. We also discuss the technique of the study of the probability of retum of Lévy stable stochastic processes and a simple and accurate algorithm generating Lévy stable stochastic processes recently proposed
We discuss some general methodology used to study stochastic systems outside of equilibrium, be it m...
Non-Gaussian stable stochastic models have attracted growing interest in recent years, due to their ...
A new method for representing and generating realizations of a wide-sense stationary non-Gaussian ra...
In this paper, we demonstrate some properties of Alpha-stable (stable) random variables and processe...
Abstract. The stable distribution, in its many parametrizations, is central to many stochastic proce...
The concepts of stability in probability of nontrivial solutions for stochastic nonlinear systems ar...
An introduction to the theory of stable distributions and their applications. It contains a modern o...
This monograph investigates violations of statistical stability of physical events, variables, and p...
This book provides a self-contained presentation on the structure of a large class of stable process...
In this study stochastic analysis of non-linear dynamical systems under α-stable, multiplicative wh...
Stable Lévy processes and related stochastic processes play an important role in stochastic modellin...
The aim of the work is the obtaining of conditions of stochastic stability for a difference equation...
AbstractA tempered stable Lévy process combines both the α-stable and Gaussian trends. In a short ti...
The paper deals with real stationary processes with a stable correlation function, with the distribu...
The book develops modern methods and in particular the "generic chaining" to bound stochastic proces...
We discuss some general methodology used to study stochastic systems outside of equilibrium, be it m...
Non-Gaussian stable stochastic models have attracted growing interest in recent years, due to their ...
A new method for representing and generating realizations of a wide-sense stationary non-Gaussian ra...
In this paper, we demonstrate some properties of Alpha-stable (stable) random variables and processe...
Abstract. The stable distribution, in its many parametrizations, is central to many stochastic proce...
The concepts of stability in probability of nontrivial solutions for stochastic nonlinear systems ar...
An introduction to the theory of stable distributions and their applications. It contains a modern o...
This monograph investigates violations of statistical stability of physical events, variables, and p...
This book provides a self-contained presentation on the structure of a large class of stable process...
In this study stochastic analysis of non-linear dynamical systems under α-stable, multiplicative wh...
Stable Lévy processes and related stochastic processes play an important role in stochastic modellin...
The aim of the work is the obtaining of conditions of stochastic stability for a difference equation...
AbstractA tempered stable Lévy process combines both the α-stable and Gaussian trends. In a short ti...
The paper deals with real stationary processes with a stable correlation function, with the distribu...
The book develops modern methods and in particular the "generic chaining" to bound stochastic proces...
We discuss some general methodology used to study stochastic systems outside of equilibrium, be it m...
Non-Gaussian stable stochastic models have attracted growing interest in recent years, due to their ...
A new method for representing and generating realizations of a wide-sense stationary non-Gaussian ra...