搜索结果: 1-8 共查到“概率论 Stochastic Differential Equations”相关记录8条 . 查询时间(0.171 秒)
Bifurcations of stochastic differential equations with singular diffusion coefficients
bifurcations noise universal unfolding stochastic stability (quasi)-stationary distributions normal forms
2012/5/9
In this article, we address the dynamics and bifurcations of a wide class of stochastic differential equations around singular points where both the drift and diffusion functions vanish. We apply thes...
Forward-Backward Doubly Stochastic Differential Equations with Brownian Motions and Poisson Process
Forward-backward doubly stochastic differential equations stochastic analysis random measure Poisson process
2011/11/7
The existence and uniqueness for solution of backward doubly stochastic differential equations with Brownian motions and Poisson process and that of forward-backward doubly stochastic differential equ...
FORWARD-BACKWARD DOUBLY STOCHASTIC DIFFERENTIAL EQUATIONS
Forward-backward doubly stochastic differential equations equivalent norm, contraction mapping
2011/11/7
A type of forward-backward doubly stochastic differential equations (FBDSDEs) is studied. Under some natural monotonicity assumptions, the existence and uniqueness result is established.
Backward Stochastic Differential Equations with Discontinuous Coefficients
Backward stochastic differential equation discontinuous generator strong solution weak solution
2011/11/5
Exploring functional analysis methods, this paper gives an existence theorem of strong solutions for a class of backward stochastic differential equations(BSDEs) with left-Lipschitz coefficients (may ...
Stochastic differential equations with non-negativity constraints driven by fractional Brownian motion with Hurst parameter H $>$ 1/2
stochastic differential equations normal reflection fractional Brownian motion Young integral
2011/9/22
Abstract: In this paper we consider stochastic differential equations with non-negativity constraints, driven by a fractional Brownian motion with Hurst parameter $H>\1/2$. We first study an ordinary ...
A trajectorial interpretation of the dissipations of entropy and Fisher information for stochastic differential equations
entropy and Fisher information stochastic differential equations Probability
2011/9/13
Abstract: We introduce and develop a pathwise description of the dissipation of general convex entropies for continuous time Markov processes, based on simple backward martingales and convergence theo...
A regression Monte-Carlo method for Backward Doubly Stochastic Differential Equations
regression Monte-Carlo method Stochastic Differential Equations Probability
2011/8/30
Abstract: This paper extends the idea of E.Gobet, J.P.Lemor and X.Warin from the setting of Backward Stochastic Differential Equations to that of Backward Doubly Stochastic Differential equations. We ...
Backward Stochastic Differential Equations with Markov Chains and The Application: Homogenization of PDEs System
BSDE Markov chain weak convergence homogenization
2010/12/13
Stemmed from the derivation of the optimal control to a stochastic linearquadratic control problem with Markov jumps, we study one kind of backward stochastic differential equations (BSDEs) that the g...