Results 31 to 40 of about 3,057,682 (305)

Irregular barrier reflected BDSDEs with general jumps under stochastic Lipschitz and linear growth conditions

open access: yesModern Stochastics: Theory and Applications, 2020
In this paper, a solution is given to reflected backward doubly stochastic differential equations when the barrier is not necessarily right-continuous, and the noise is driven by two independent Brownian motions and an independent Poisson random measure.
Mohamed Marzougue, Yaya Sagna
doaj   +1 more source

Stochastic Properties of Fractional Generalized Cumulative Residual Entropy and Its Extensions

open access: yesEntropy, 2022
The fractional generalized cumulative residual entropy (FGCRE) has been introduced recently as a novel uncertainty measure which can be compared with the fractional Shannon entropy. Various properties of the FGCRE have been studied in the literature.
Ghadah Alomani, Mohamed Kayid
doaj   +1 more source

On Deviation Measures in Stochastic Integer Programming [PDF]

open access: yesElectronic Notes in Discrete Mathematics, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Märkert, Andreas, Schultz, Rüdiger
openaire   +5 more sources

Invariant Measure for Stochastic Schrödinger Equations [PDF]

open access: yesAnnales Henri Poincaré, 2021
Quantum trajectories are Markov processes that describe the time-evolution of a quantum system undergoing continuous indirect measurement. Mathematically, they are defined as solutions of the so-called "Stochastic Schrödinger Equations", which are nonlinear stochastic differential equations driven by Poisson and Wiener processes.
Benoist, Tristan   +3 more
openaire   +4 more sources

Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method [PDF]

open access: yes, 2014
BackgroundBiochemical systems with relatively low numbers of components must be simulated stochastically in order to capture their inherent noise. Although there has recently been considerable work on discrete stochastic solvers, there is still a need ...
Barrio Solórzano, Manuel   +11 more
core   +2 more sources

Heat equation with general stochastic measure colored in time

open access: yesModern Stochastics: Theory and Applications, 2014
A stochastic heat equation on $[0,T]\times \mathbb{R}$ driven by a general stochastic measure $d\mu (t)$ is investigated in this paper. For the integrator μ, we assume the σ-additivity in probability only. The existence, uniqueness, and Hölder regularity
Vadym Radchenko
doaj   +1 more source

Polyhedral Risk Measures in Stochastic Programming [PDF]

open access: yesSIAM Journal on Optimization, 2005
The authors define the class of polyhedral risk measures as optimal values of certain linear stochastic programs with recourse where the arguments appear on the right-hand sides of the dynamic constraints. They provide conditions implying that polyhedral risk measures are coherent and consistent with second order stochastic dominance.
Andreas Eichhorn, Werner Römisch
openaire   +1 more source

Measure Attractors of Stochastic Fractional Lattice Systems

open access: yesFractal and Fractional
This paper seeks to establish the measure attractors in stochastic fractional lattice systems. First, the presence of these attractor measures is proven by the uniform estimates of the solution.
Shudong Weng, Shaoyue Mi, Dingshi Li
doaj   +1 more source

Stochastic Quantization for the Fractional Edwards Measure [PDF]

open access: yesActa Applicandae Mathematicae, 2017
We prove the existence of a diffusion process whose invariant measure is the fractional polymer or Edwards measure for fractional Brownian motion in dimension $d\in\mathbb{N}$ with Hurst parameter $H\in(0,1)$ fulfilling $dH < 1$. The diffusion is constructed via Dirichlet form techniques in infinite dimensional (Gaussian) analysis. Moreover, we show
Bock, Wolfgang   +2 more
openaire   +2 more sources

Formulation of scale transformation in a stochastic data assimilation framework [PDF]

open access: yesNonlinear Processes in Geophysics, 2017
Understanding the errors caused by spatial-scale transformation in Earth observations and simulations requires a rigorous definition of scale. These errors are also an important component of representativeness errors in data assimilation.
F. Liu, F. Liu, X. Li, X. Li, X. Li
doaj   +1 more source

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