Results 41 to 50 of about 2,603 (123)

Convergence rate of the truncated Euler-Maruyama method for highly nonlinear neutral stochastic differential equations with time-dependent delay

open access: yesOpen Mathematics
This article can be considered as a continuation of Petrović and Milošević [The truncated Euler-Maruyama method for highly nonlinear neutral stochastic differential equations with time-dependent delay, Filomat 35 (2021), no.
Petrović Aleksandra M.
doaj   +1 more source

A Haussmann‐Clark‐Ocone formula for functionals of diffusion processes with Lipschitz coefficients

open access: yesInternational Journal of Stochastic Analysis, Volume 15, Issue 4, Page 357-370, 2002., 2002
We establish a martingale representation formula for functionals of diffusion processes with Lipschitz coefficients, as stochastic integrals with respect to the Brownian motion.
Khaled Bahlali   +2 more
wiley   +1 more source

An approximate Taylor method for Stochastic Functional Differential Equations via polynomial condition

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021
The subject of this paper is an analytic approximate method for a class of stochastic functional differential equations with coefficients that do not necessarily satisfy the Lipschitz condition nor linear growth condition but they satisfy some polynomial
Djordjević Dušan D.   +1 more
doaj   +1 more source

Robust option replication for a Black-Scholes model extended with nondeterministic trends [PDF]

open access: yes, 2012
Statistical analysis on various stocks reveals long range dependence behavior of the stock prices that is not consistent with the classical Black and Scholes model.
Kloeden, Peter E.   +1 more
core  

On the notion of L 1‐completeness of a stochastic flow on a manifold

open access: yesAbstract and Applied Analysis, Volume 7, Issue 12, Page 627-635, 2002., 2002
We introduce the notion of L 1‐completeness for a stochastic flow on manifold and prove a necessary and sufficient condition for a flow to be L 1‐complete. L 1‐completeness means that the flow is complete (i.e., exists on the given time interval) and that it belongs to some sort of L 1‐functional space, natural for manifolds where no Riemannian metric ...
Yu. E. Gliklikh, L. A. Morozova
wiley   +1 more source

Averaging and stability of quasilinear functional differential equations with Markov parameters

open access: yesInternational Journal of Stochastic Analysis, Volume 12, Issue 1, Page 1-15, 1999., 1998
An asymptotic method for stability analysis of quasilinear functional differential equations, with small perturbations dependent on phase coordinates and an ergodic Markov process, is presented. The proposed method is based on an averaging procedure with respect to: 1) time along critical solutions of the linear equation; and 2) the invariant measure ...
Lambros Katafygiotis, Yevgeny Tsarkov
wiley   +1 more source

Coexistence for a kind of stochastic three-species competitive models

open access: yesOpen Mathematics, 2019
The coexistence of species sustains the ecological balance in nature. This paper focuses on sufficient conditions for the coexistence of a three-species stochastic competitive model, where the model has non-linear diffusion parts.
Huang Nantian   +3 more
doaj   +1 more source

A stochastic SICA epidemic model for HIV transmission

open access: yes, 2018
We propose a stochastic SICA epidemic model for HIV transmission, described by stochastic ordinary differential equations, and discuss its perturbation by environmental white noise.
Djordjevic, Jasmina   +2 more
core   +1 more source

Moment bounds for IID sequences under sublinear expectations

open access: yes, 2011
In this paper, with the notion of independent identically distributed (IID) random variables under sublinear expectations introduced by Peng [7-9], we investigate moment bounds for IID sequences under sublinear expectations.
Hu, Feng
core   +1 more source

BSDE associated with Lévy processes and application to PDIE

open access: yes, 2003
International Journal of Stochastic Analysis, Volume 16, Issue 1, Page 1-17, 2003.
K. Bahlali, M. Eddahbi, E. Essaky
wiley   +1 more source

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