搜索结果: 1-15 共查到“stochastic differential equations”相关记录50条 . 查询时间(0.102 秒)
Information Theoretic Limits on Learning Stochastic Differential Equations
Stochastic differential equation the coefficient
2015/8/21
Consider the problem of learning the drift coefficient of a stochastic differential equation from a sample path. In this paper, we assume that the drift is parametrized by a highdimensional vector. We...
Penalized importance sampling for parameter estimation in stochastic differential equations
Chronic wasting disease Euler-Maruyama scheme Maximum likelihood estimation Partially observed discrete sparse data Penalized importance sampling Stochastic di
2013/6/14
We consider the problem of estimating parameters of stochastic differential equations with discrete-time observations that are either completely or partially observed. The transition density between t...
Bayesian Adaptive Smoothing Spline using Stochastic Differential Equations
Adaptive smoothing Markov chain Monte Carlo Smoothing spline Stochastic dierential equation
2012/11/22
The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathematical formulation. How...
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...
Optimal simulation schemes for Levy driven stochastic differential equations
Levy-driven stochastic differential equations high order discretization schemes weak approximation regular variation
2012/4/28
We consider a general class of high order weak approximation schemes for stochastic differential equations driven by L\'evy processes with infinite activity. These schemes combine a compound Poisson a...
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 ...
A Quasi-Sure Approach to the Control of Non-Markovian Stochastic Differential Equations
Stochastic optimal control non-Markovian SDE second order BSDE G-expectation random G-expectation volatility uncertainty risk measure
2011/7/5
We study stochastic differential equations (SDEs) whose drift and
diffusion coefficients are path-dependent and controlled. We construct
a value process on the canonical path space, considered simul...
Information Theoretic Limits on Learning Stochastic Differential Equations
drift high dimensional vector interaction coefficients
2011/3/31
Consider the problem of learning the drift coefficient of a stochastic differential equation from a sample path. In this paper, we assume that the drift is parametrized by a high dimensional vector.
Fractional Lévy-driven Ornstein--Uhlenbeck processes and stochastic differential equations
fractional integral equation fractional Levy process fractional Levy–Ornstein–Uhlenbeck process long-range dependence p-variation Riemann–Stieltjes integration stationary solution to a fractional SDE stochastic diff erential equation
2011/3/18
Using Riemann-Stieltjes methods for integrators of bounded $p$-variation we define a pathwise integral driven by a fractional L\'{e}vy process (FLP). To explicitly solve general fractional stochastic ...
Optimal sequential change-detection for fractional stochastic differential equations
优化序贯Optimal sequential change-detection fractional stochastic differential equations
2011/3/18
The sequential detection of an abrupt and persistent change in the dynamics of an arbitrary continuous-path stochastic process is considered; the optimality of the cumulative sums (CUSUM) test is esta...