Results 31 to 40 of about 3,960 (256)

Generalized fractional Brownian motion

open access: yesModern Stochastics: Theory and Applications, 2017
We introduce a new Gaussian process, a generalization of both fractional and subfractional Brownian motions, which could serve as a good model for a larger class of natural phenomena.
Mounir Zili
doaj   +1 more source

Impacts of Brownian motion and fractional derivative on the solutions of the stochastic fractional Davey-Stewartson equations

open access: yesDemonstratio Mathematica, 2023
In this article, the stochastic fractional Davey-Stewartson equations (SFDSEs) that result from multiplicative Brownian motion in the Stratonovich sense are discussed.
Mohammed Wael W.   +2 more
doaj   +1 more source

Crossover dynamics of climate change models: Numerical simulations

open access: yesAlexandria Engineering Journal, 2023
In this paper, two new climate change mathematical models are extended using the stochastic-deterministic piecewise hybrid fractional derivatives, where the hybrid fractional order operator is applied to extend the deterministic model and the fractional ...
N.H. Sweilam   +4 more
doaj   +1 more source

Fractional Brownian Motion and the Markov Property

open access: yesElectronic Communications in Probability, 1998
9 ...
Coutin, Laure, Carmona, Philippe
openaire   +5 more sources

Asymptotic Growth of Sample Paths of Tempered Fractional Brownian Motions, with Statistical Applications to Vasicek-Type Models

open access: yesFractal and Fractional
Tempered fractional Brownian motion (TFBM) and tempered fractional Brownian motion of the second kind (TFBMII) modify the power-law kernel in the moving average representation of fractional Brownian motion by introducing exponential tempering.
Yuliya Mishura, Kostiantyn Ralchenko
doaj   +1 more source

Modelling intermittent anomalous diffusion with switching fractional Brownian motion

open access: yesNew Journal of Physics, 2023
The stochastic trajectories of molecules in living cells, as well as the dynamics in many other complex systems, often exhibit memory in their path over long periods of time.
Michał Balcerek   +4 more
doaj   +1 more source

On two-dimensional fractional Brownian motion and fractional Brownian random field [PDF]

open access: yesJournal of Physics A: Mathematical and General, 1998
As a generalization of one-dimensional fractional Brownian motion (1dfBm), we introduce a class of two-dimensional, self-similar, strongly correlated random walks whose variance scales with power law N(2) (H) (0 < H < 1). We report analytical results on the statistical size and shape, and segment distribution of its trajectory in the limit of large N ...
Qian, Hong   +2 more
openaire   +2 more sources

A DYNAMICAL APPROACH TO FRACTIONAL BROWNIAN MOTION [PDF]

open access: yesFractals, 1994
Herein we develop a dynamical foundation for fractional Brownian motion. A clear relation is established between the asymptotic behavior of the correlation function and diffusion in a dynamical system. Then, assuming that scaling is applicable, we establish a connection between diffusion (either standard or anomalous) and the dynamical indicator known
MANNELLA, RICCARDO   +2 more
openaire   +2 more sources

Option Pricing under the Subordinated Market Models

open access: yesDiscrete Dynamics in Nature and Society, 2022
This paper aims to study option pricing problem under the subordinated Brownian motion. Firstly, we prove that the subordinated Brownian motion controlled by the fractional diffusion equation has many financial properties, such as self-similarity ...
Longjin Lv, Changjuan Zheng, Luna Wang
doaj   +1 more source

Are Fractional Brownian Motions Predictable? [PDF]

open access: yes, 2011
We provide a device, called the local predictor, which extends the idea of the predictable compensator. It is shown that a fBm with the Hurst index greater than 1/2 coincides with its local predictor while fBm with the Hurst index smaller than 1/2 does not admit any local predictor.
openaire   +2 more sources

Home - About - Disclaimer - Privacy