Results 1 to 10 of about 3,335 (259)
Averaging Principle for Backward Stochastic Differential Equations [PDF]
The averaging principle for BSDEs and one-barrier RBSDEs, with Lipschitz coefficients, is investigated. An averaged BSDEs for the original BSDEs is proposed, as well as the one-barrier RBSDEs, and their solutions are quantitatively compared.
Yuanyuan Jing, Zhi Li
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Backward-Forward Stochastic Differential Equations
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Fabio Antonelli
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Modeling single cell trajectory using forward-backward stochastic differential equations. [PDF]
Recent advances in single-cell sequencing technology have provided opportunities for mathematical modeling of dynamic developmental processes at the single-cell level, such as inferring developmental trajectories.
Kevin Zhang +3 more
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Numberical Method for Backward Stochastic Differential Equations
Let \(W\) be a \(d\)-dimensional Brownian motion. The authors develop a new method of approximating solutions \(Y\) of the multidimensional backward stochastic differential equation (BSDE) \[ dY_t= -f(t, Y_t)dt+ Z_t dW_t,\quad t\in [0,T], \] with a continuous driver \(f\) which is Lipschtz in the \(y\)-variable and independent of \(z\).
Jaime San Martín, , Soledad Torres
exaly +3 more sources
Backward stochastic differential equations and partial differential equations with quadratic growth
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exaly +3 more sources
Backward Stackelberg Games with Delay and Related Forward–Backward Stochastic Differential Equations
In this paper, we study a kind of Stackelberg game where the controlled systems are described by backward stochastic differential delayed equations (BSDDEs).
Li Chen, Peipei Zhou, Hua Xiao
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g-Expectation for Conformable Backward Stochastic Differential Equations
In this paper, we study the applications of conformable backward stochastic differential equations driven by Brownian motion and compensated random measure in nonlinear expectation.
Mei Luo +3 more
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Martingale Decomposition and Backward Stochastic Dynamic Equations on Time Scales
The paper aims to establish the related backward stochastic dynamic equations on time scales, BS ∇ Es for short, concerning to ∇-integral on time scales.
Guofeng Tang, Guangyan Jia
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On approximation of the backward stochastic differential equation [PDF]
We consider the problem of approximation of the solution of the backward stochastic differential equation in the Markovian case. We suppose that the trend coefficient of the diffusion process depends on some unknown parameter and the diffusion coefficient of this equation is small.
Kutoyants, Yury A., Zhou, Li
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