AbstractFree Ornstein–Uhlenbeck processes are studied in finite von Neumann algebras. It is shown that a free self-decomposable probability measure on R can be realized as the distribution of a stationary free Ornstein–Uhlenbeck process driven by a free Levy process. A characterization of a probability measure on R to be the stationary distribution of a periodic free Ornstein–Uhlenbeck process driven by a free Levy process is given in terms of the Levy measure of the measure. Finally, the notion of a free fractional Brownian motion is introduced. It is proved that the free stochastic differential equation driven by a fractional free Brownian motion has a unique solution. We call the solution a fractional free Ornstein–Uhlenbeck process
In this paper we investigate the existence and some useful properties of the Lévy areas of Ornstein-...
We consider an Ornstein–Uhlenbeck process with values in R_n driven by a Levy process (Z_t) taking v...
We consider two independent Gaussian processes that admit a representation in terms of a stochastic ...
AbstractFree Ornstein–Uhlenbeck processes are studied in finite von Neumann algebras. It is shown th...
AbstractIn a two-state free probability space (A,φ,ψ), we define an algebraic two-state free Brownia...
We study stationary processes given as solutions to stochastic differential equations driven by frac...
We introduce a class of stochastic differential equations driven by fractional Brownian motion which...
Abstract The classical stationary Ornstein-Uhlenbeck process can be obtained in two different ways. ...
Certain (reduced) free product is introduced in the framework of operator spaces. Under the construc...
ABSTRACT. A fundamental result of Biane (1998) states that a process with freely independent in-crem...
We consider an ensemble of Ornstein-Uhlenbeck processes featuring a population of relaxation times a...
In the Thesis we study the Ornstein-Uhlenbeck Bridges. First, we recall the notion of the fractional...
In this monograph, we are mainly studying Gaussian processes, in particularly three different types ...
21 pages, 3 figuresThe Ornstein-Uhlenbeck process can be seen as a paradigm of a finite-variance and...
We study a family of free stochastic processes whose covariance kernels K may be derived as a transf...
In this paper we investigate the existence and some useful properties of the Lévy areas of Ornstein-...
We consider an Ornstein–Uhlenbeck process with values in R_n driven by a Levy process (Z_t) taking v...
We consider two independent Gaussian processes that admit a representation in terms of a stochastic ...
AbstractFree Ornstein–Uhlenbeck processes are studied in finite von Neumann algebras. It is shown th...
AbstractIn a two-state free probability space (A,φ,ψ), we define an algebraic two-state free Brownia...
We study stationary processes given as solutions to stochastic differential equations driven by frac...
We introduce a class of stochastic differential equations driven by fractional Brownian motion which...
Abstract The classical stationary Ornstein-Uhlenbeck process can be obtained in two different ways. ...
Certain (reduced) free product is introduced in the framework of operator spaces. Under the construc...
ABSTRACT. A fundamental result of Biane (1998) states that a process with freely independent in-crem...
We consider an ensemble of Ornstein-Uhlenbeck processes featuring a population of relaxation times a...
In the Thesis we study the Ornstein-Uhlenbeck Bridges. First, we recall the notion of the fractional...
In this monograph, we are mainly studying Gaussian processes, in particularly three different types ...
21 pages, 3 figuresThe Ornstein-Uhlenbeck process can be seen as a paradigm of a finite-variance and...
We study a family of free stochastic processes whose covariance kernels K may be derived as a transf...
In this paper we investigate the existence and some useful properties of the Lévy areas of Ornstein-...
We consider an Ornstein–Uhlenbeck process with values in R_n driven by a Levy process (Z_t) taking v...
We consider two independent Gaussian processes that admit a representation in terms of a stochastic ...