On stochastic differential equations driven by skew stable processes
There is not abstract.
Henrikas Pragarauskas
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Stochastic integration with respect to canonical α-stable cylindrical Lévy processes
31 ...
Markus Riedle
exaly +4 more sources
Irreducibility and Asymptotics of Stochastic Burgers Equation Driven by α-stable Processes [PDF]
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Feng-Yu Wang, Lihu Xu, Wang Feng-Yu
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Stable cylindrical Lévy processes and the stochastic Cauchy problem
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Markus Riedle
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On pathwise uniqueness for stochastic differential equations driven by stable Lévy processes
We study a one-dimensional stochastic differential equation driven by a stable Lévy process of order $α$ with drift and diffusion coefficients $b,σ$. When $α\in (1,2)$, we investigate pathwise uniqueness for this equation. When $α\in (0,1)$, we study another stochastic differential equation, which is equivalent in law, but for which pathwise uniqueness
Nicolas Fournier
exaly +6 more sources
Application of Lévy processes in modelling (geodetic) time series with mixed spectra [PDF]
Recently, various models have been developed, including the fractional Brownian motion (fBm), to analyse the stochastic properties of geodetic time series together with the estimated geophysical signals.
J.-P. Montillet +5 more
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Modeling Financial Markets Using Combined Ornstein-uhlenbeck Process with Levy Noise [PDF]
Objective: The main purpose of this paper is to investigate a developed stochastic algorithm for modeling financial markets using the Ornstein-uhlenbeck process combined with Levy noise. Using the closing prices of stock markets, it can be concluded that
Mina Mohammadi, Parisa Nabati
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Slow Manifolds for Stochastic Koper Models with Stable Lévy Noises
The Koper model is a vector field in which the differential equations describe the electrochemical oscillations appearing in diffusion processes. This work focuses on the understanding of the slow dynamics of a stochastic Koper model perturbed by stable ...
Hina Zulfiqar +2 more
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Improved noise‐to‐state stability criteria of random nonlinear systems with stochastic impulses
This paper considers noise‐to‐state stability for random non‐linear systems with stochastic impulses. The impulsive random non‐linear systems contain three random characteristics: the second‐moment processes in continuous dynamics, the sequence of random
Likang Feng, Ju H. Park, Weihai Zhang
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Maximum principles for nonlocal parabolic Waldenfels operators [PDF]
As a class of Lévy type Markov generators, nonlocal Waldenfels operators appear naturally in the context of investigating stochastic dynamics under Lévy fluctuations and constructing Markov processes with boundary conditions (in particular the ...
Qiao Huang, Jinqiao Duan, Jiang-Lun Wu
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