Inference of dominant modes for linear stochastic processes by R. S. MacKay

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Random Walk Approximation for Stochastic Processes on Graphs by Stefano Polizzi, Tommaso Marzi, Tommaso Matteuzzi, Gastone Castellani, Armando Bazzani

“…We introduce the Random Walk Approximation (RWA), a new method to approximate the stationary solution of master equations describing stochastic processes taking place on graphs. Our approximation can be used for all processes governed by non-linear master equations without long-range interactions and with a conserved number of entities, which are typical in biological systems, such as gene regulatory or chemical reaction networks, where no exact solution exists. …”
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Quantum-enhanced analysis of discrete stochastic processes by Carsten Blank, Daniel K. Park, Francesco Petruccione

“…Abstract Discrete stochastic processes (DSP) are instrumental for modeling the dynamics of probabilistic systems and have a wide spectrum of applications in science and engineering. …”
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Special issue: Advances in Stochastic processes and Applications by Guest Editor: Giuseppina Albano

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Statistical Analysis of Geometric Stochastic Process with Application

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Donsker’s Delta Functional of Stochastic Processes with Memory by Herry Pribawanto Suryawan

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On the convergence of stochastic processes in the space of discontinuous functions by Rimas Banys

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Peculiarities and Applications of Stochastic Processes with Fractal Properties by Oleg Semenovich Amosov, Svetlana Gennadievna Amosova

“…In this paper, the fractal properties of stochastic processes and objects in different areas were specified and investigated. …”
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Information predictability of stochastic processes in discrete time by A. V. Ausiannikau, V. M. Kozel

“…The definition of one-step information predictability stochastic process in discrete time is given. The influence of the accumulation process data on its informational predictability is investigated. …”
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Classification of stochastic processes based on deep learning by Shamsan A Al-Murisi, Xiangong Tang, Weihua Deng

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Spatial stochastic Process and estimation of variogram Function by Mohammed Ismaeel, Nibal Sabah

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Information predictability of stochastic processes in continuous time by A. V. Ausiannikau

“…The definition of information predictability stochastic process and its parameters is given in the article. …”
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Scheduling nonlinear sensors for stochastic process estimation by Tzoumas, Vasileios, Atanasov, Nikolay A., Pappas, George J., Jadbabaie-Moghadam, Ali

“…In this paper, we focus on activating only a few sensors, among many available, to estimate the state of a stochastic process of interest. This problem is important in applications such as target tracking and simultaneous localization and mapping (SLAM). …”
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On factoring the correlations of discrete multivariable stochastic processes. by Wiggins, Ralph Ambrose

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Linear estimation of boundary value stochastic processes by Adams, Milton B. (Milton Bernard)

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Stochastic processes in biological systems : selected problems by Artomov, Maksym

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Modeling and estimation of space-time stochastic processes. by Kam, Pooi Yuen

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A study of stochastic processes of asset pricing by Lim, Ngee Woon, Chua, Chi Boon, Tan, Kok Hian

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On quadratic stochastic processes and related differential equations by Mukhamedov, Farrukh, Supar, Nurul Akma, Pah, Chin Hee

“…These processes are called quadratic stochastic processes (q.s.p.). In this theory it is important to construct nontrivial examples of such processes. …”
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Signature moments to characterize laws of stochastic processes by Chevyrev, I, Oberhauser, H

“…This allows us to derive a metric of maximum mean discrepancy type for laws of stochastic processes and study the topology it induces on the space of laws of stochastic processes. …”