Results 11 to 20 of about 19,009 (219)
Introducing Plithogenic Stochastic Processes with an Application to Poisson Process [PDF]
Neutrosophic Sets and SystemsIn this paper, we study and define the mathematical form of plithogenic stochastic processes PSP based on set of three classic stochastic processes. This new definition is a generalization of neutrosophic stochastic process.
Abdulrahman Astambli +2 more
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ON THE QHASI CLASS AND ITS EXTENSION TO SOME GAUSSIAN SHEETS
International Journal for Computational Civil and Structural Engineering, 2022 Introduced in 2018 the generalized bifractional Brownian motion is considered as an element of the quasi-helix with approximately stationary increment class of real centered Gaussian processes conditioning by parameters.
Charles El-Nouty, Darya Filatova
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White noise based stochastic calculus associated with a class of Gaussian processes [PDF]
Opuscula Mathematica, 2012 Using the white noise space setting, we define and study stochastic integrals with respect to a class of stationary increment Gaussian processes. We focus mainly on continuous functions with values in the Kondratiev space of stochastic distributions ...
Daniel Alpay, Haim Attia, David Levanony
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Retarded stochastic fractional neutral functional differential equations driven by Rosenblatt process with unbounded delay [PDF]
European Journal of Mathematics and Applications, 2022 Hermite processes are self-similar processes with stationary increments, the Hermite process of order $1$ is fractional Brownian motion and the Hermite process of order $2$ is the Rosenblatt process.
Lahmoudi Ahmed, Lakhel El Hassan
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Frontiers in Built Environment, 2021 The time history analysis is used to estimate the peak responses of structures subjected to stationary and nonstationary winds. The time histories of the fluctuating wind processes at multiple points can be simulated based on the spectral representation ...
P. Hong, H. P. Hong
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Simulating Non-Gaussian Stationary Stochastic Processes by Translation Model
IEEE Access, 2019 The translation model is a useful tool to characterize stochastic processes or random fields. In this paper, this model is extended to simulate stochastic processes with discrete marginal distributions.
Qing Xiao, Shaowu Zhou
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Stochastic transient analysis of thermal stresses in solids by explicit time-domain method
Theoretical and Applied Mechanics Letters, 2019 Stochastic heat conduction and thermal stress analysis of structures has received considerable attention in recent years. The propagation of uncertain thermal environments will lead to stochastic variations in temperature fields and thermal stresses ...
Houzuo Guo, Cheng Su, Jianhua Xian
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Stochastic Resetting: A (Very) Brief Review
Frontiers in Physics, 2022 Stochastic processes offer a fundamentally different paradigm of dynamics than deterministic processes that one is most familiar with, the most prominent example of the latter being Newton’s laws of motion.
Shamik Gupta +2 more
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On Markovian cocycle perturbations in classical and quantum probability
International Journal of Mathematics and Mathematical Sciences, 2003 We introduce Markovian cocycle perturbations of the groups of transformations associated with classical and quantum stochastic processes with stationary increments, which are characterized by a localization of the perturbation to the algebra of events ...
G. G. Amosov
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Thermodynamics and Fluctuations Far From Equilibrium
Entropy, 2010 We review a coherent mesoscopic presentation of thermodynamics and fluctuations far from and near equilibrium, applicable to chemical reactions, energy transfer and transport processes, and electrochemical systems.
Alejandro Fernández Villaverde +1 more
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