AbstractThis work is concerned with a class of jump-diffusion processes with state-dependent switching. First, the existence and uniqueness of the solution of a system of stochastic integro-differential equations are obtained with the aid of successive construction methods. Next, the non-explosiveness is proved by truncation arguments. Then, the Feller continuity is established by means of introducing some auxiliary processes and by making use of the Radon–Nikodym derivatives. Furthermore, the strong Feller continuity is proved by virtue of the relation between the transition probabilities of jump-diffusion processes and the corresponding diffusion processes. Finally, on the basis of the above results, the exponential ergodicity is obtained...
Markov processes have been widely used in physical science and finance to model stochastic phenomena...
AbstractWe consider a jumping Markov process {Xtx}t≥0. We study the absolute continuity of the law o...
Let Y be a Ornstein-Uhlenbeck diffusion governed by a stationary and ergodic process X : dYt = a(Xt)...
AbstractThis work is concerned with a class of jump-diffusion processes with state-dependent switchi...
AbstractIn this paper we consider the stability for a class of jump-diffusions with Markovian switch...
AbstractThis work is concerned with several properties of solutions of stochastic differential equat...
We consider stochastic diffusion processes subject to jumps that occur at random times. We assume t...
AbstractIn this paper, we consider a class of nonlinear autoregressive (AR) processes with state-dep...
We consider a jumping Markov process . We study the absolute continuity of the law of for t>0. We fi...
This work is devoted to the study of regime-switching jump diffusion processes in which the switchin...
AbstractThis work develops asymptotic expansions for solutions of integro-differential equations ari...
AbstractThe paper treats approximations to stochastic differential equations with both a diffusion a...
In his seminal work from the 1950s, William Feller classified all one-dimensional diffusions on −∞≤a...
This paper is devoted to numerical solutions for a class of jump-diffusions with regime switching. A...
AbstractWe study stochastic equations of non-negative processes with jumps. The existence and unique...
Markov processes have been widely used in physical science and finance to model stochastic phenomena...
AbstractWe consider a jumping Markov process {Xtx}t≥0. We study the absolute continuity of the law o...
Let Y be a Ornstein-Uhlenbeck diffusion governed by a stationary and ergodic process X : dYt = a(Xt)...
AbstractThis work is concerned with a class of jump-diffusion processes with state-dependent switchi...
AbstractIn this paper we consider the stability for a class of jump-diffusions with Markovian switch...
AbstractThis work is concerned with several properties of solutions of stochastic differential equat...
We consider stochastic diffusion processes subject to jumps that occur at random times. We assume t...
AbstractIn this paper, we consider a class of nonlinear autoregressive (AR) processes with state-dep...
We consider a jumping Markov process . We study the absolute continuity of the law of for t>0. We fi...
This work is devoted to the study of regime-switching jump diffusion processes in which the switchin...
AbstractThis work develops asymptotic expansions for solutions of integro-differential equations ari...
AbstractThe paper treats approximations to stochastic differential equations with both a diffusion a...
In his seminal work from the 1950s, William Feller classified all one-dimensional diffusions on −∞≤a...
This paper is devoted to numerical solutions for a class of jump-diffusions with regime switching. A...
AbstractWe study stochastic equations of non-negative processes with jumps. The existence and unique...
Markov processes have been widely used in physical science and finance to model stochastic phenomena...
AbstractWe consider a jumping Markov process {Xtx}t≥0. We study the absolute continuity of the law o...
Let Y be a Ornstein-Uhlenbeck diffusion governed by a stationary and ergodic process X : dYt = a(Xt)...