Main results for stochastic differential equations apply to their stationary solutions. For obvious reasons underlying processes are simulated with stochastic difference equations. Such equations also have stationary solutions that depend on the time step h. In the current paper relation between statistical features of stationary solutions of stochastic difference and differential equations are investigated. Moreover, possible approaches to the choice of time step h are discussed
By analogy with the theory of Backward Stochastic Differential Equations, we define Backward Stochas...
AbstractWe provide a general comparison theorem for systems of stochastic partial differential equat...
International audienceIn the context of biology and ecology, stochastic differential equations (SDE)...
Pathwise comparison of solutions to a class of stochastic systems of differential equations is prove...
Stochastic comparisons of Markov processes have mostly been in terms of transition functions or infi...
Time series models that are commonly used in econometric modeling are autoregressive stochastic line...
AbstractStochastic comparisons of Markov processes have mostly been in terms of transition functions...
This paper deals with the relationship between two-dimensional parameter Gaussian random fields veri...
The comparison theorem of stochastic differential equations has been investigated by many authors. H...
In this paper, we study of structural coefficients attributed to stochastic difference equation mode...
Progress in Probability; vol. 65We define Backward Stochastic Difference Equations on spaces related...
Recently, Küchler and Mensch [Stochastics Stochastics Rep. 40, 23 (1992)] derived exact stationary p...
AbstractIn this paper we prove the general comparison theorem for the difference inequalities and se...
We prove comparison theorems for systems of ordinary stochastic differential equations as well as fo...
We consider the problem of stochastic comparison of general GARCH-like processes, for different para...
By analogy with the theory of Backward Stochastic Differential Equations, we define Backward Stochas...
AbstractWe provide a general comparison theorem for systems of stochastic partial differential equat...
International audienceIn the context of biology and ecology, stochastic differential equations (SDE)...
Pathwise comparison of solutions to a class of stochastic systems of differential equations is prove...
Stochastic comparisons of Markov processes have mostly been in terms of transition functions or infi...
Time series models that are commonly used in econometric modeling are autoregressive stochastic line...
AbstractStochastic comparisons of Markov processes have mostly been in terms of transition functions...
This paper deals with the relationship between two-dimensional parameter Gaussian random fields veri...
The comparison theorem of stochastic differential equations has been investigated by many authors. H...
In this paper, we study of structural coefficients attributed to stochastic difference equation mode...
Progress in Probability; vol. 65We define Backward Stochastic Difference Equations on spaces related...
Recently, Küchler and Mensch [Stochastics Stochastics Rep. 40, 23 (1992)] derived exact stationary p...
AbstractIn this paper we prove the general comparison theorem for the difference inequalities and se...
We prove comparison theorems for systems of ordinary stochastic differential equations as well as fo...
We consider the problem of stochastic comparison of general GARCH-like processes, for different para...
By analogy with the theory of Backward Stochastic Differential Equations, we define Backward Stochas...
AbstractWe provide a general comparison theorem for systems of stochastic partial differential equat...
International audienceIn the context of biology and ecology, stochastic differential equations (SDE)...