A discrete Stochastic Korovkin theorem by George A. Anastassiou

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Dynamic effects and information quantifiers of statistical memoryof MEG's signals at photosensitive epilepsy by R. M. Yulmetyev, E. V. Khusaenova, D. G. Yulmetyeva, P. Hänggi, S. Shimojo, K. Watanabe, J. Bhattacharya

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Assembly mechanisms, not species pool, shape β-diversity of soil methanotrophic communities in steppes of China by Yongping Kou, Zhe Feng, Huan Li, Yanjiao Liu, Yanjiao Liu, Lin Xu, Lin Xu, Xiangzhen Li

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Investigating Low-Frequency Electromagnetic Fluctuations on PCB Surfaces: A Near-Field Analysis of CBCPW Transmission Lines up to 15.2 MHz by Mariusz Zubert, Mariusz Jankowski, Zbigniew Kulesza

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Dynamic critical behavior of the chiral phase transition from the real-time functional renormalization group by Johannes V. Roth, Yunxin Ye, Sören Schlichting, Lorenz von Smekal

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Hammerstein system with a stochastic input of arbitrary/unknown autocorrelation: Identification of the dynamic linear subsystem by Tsair‐Chuan Lin, Kainam Thomas Wong

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Assembly of soil multitrophic community regulates multifunctionality via multifaceted biotic factors in subtropical ecosystems by Chao Chang, En Hu, Xiaofeng Tang, Sisi Ye, Dan Zhao, Zhi Qu, Ming Li

Subjects: “…Deterministic and stochastic processes…”
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Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes by Yaqiu Zhang, Lizhi Liu, Xinnian Yang

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Jump Diffusion Modelling for the Brazilian Short-Term Interest Rate by José Carlos Nogueira Cavalcante Filho, Edson Daniel Lopes Gonçalves

Subjects: “…stochastic process…”
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Quaternion Fractional Fourier Transform: Bridging Signal Processing and Probability Theory by Muhammad Adnan Samad, Yuanqing Xia, Saima Siddiqui, Muhammad Younus Bhat, Didar Urynbassarova, Altyn Urynbassarova

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Trivariate Stochastic Weather Model for Predicting Maize Yield by Patrick Chidzalo, Phillip O. Ngare, Joseph K. Mung’atu

“…Hence, there exists a need for a stochastic process for predicting maize yield with higher precision. …”
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Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations by Dang-Bo Du, Jian-Xun Zhang, Zhi-Jie Zhou, Xiao-Sheng Si, Chang-Hua Hu

“…Firstly the degradation data are decomposed into trend items and random items, which are defined as a stochastic process. Then the standard deviation of the stochastic process is defined as another performance variable because standard deviation reflects the system performance. …”
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Determining the First Probability Density Function of Linear Random Initial Value Problems by the Random Variable Transformation (RVT) Technique: A Comprehensive Study by M.-C. Casabán, J.-C. Cortés, J.-V. Romero, M.-D. Roselló

“…Solving a random differential equation means computing not only its solution stochastic process but also its main statistical functions such as the expectation and standard deviation. …”
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Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock. by Nafiu, Lukman Abiodun, Patrick, Weke, Alieu Jallow, Mamadou, Carolyne, Ogutu

“…Semi Markov is a stochastic process that generalizes both the Markov chain and the Markov renewal processes. it is well known that the performances of the stock market or factors that move stock prices are technical factors, fundamental factors and market sentiments.…”
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A First Application of the Backward Technique in Social Sciences: Exploring Demographic Noise in a Model with Three Personality Types by Roberto Macrelli, Margherita Carletti, Vincenzo Fano

“…Applying the backward technique to this model built on ordinary differential equations, we demonstrate how demographic noise can act as a switching factor, i.e., moving backward from the deterministic continuous model to the discrete stochastic process using the same parameter values, a given equilibrium switches to a different one. …”
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Option Pricing Based on Modified Advection-Dispersion Equation: Stochastic Representation and Applications by Longjin Lv, Luna Wang

“…In this paper, we first investigate the stochastic representation of the modified advection-dispersion equation, which is proved to be a subordinated stochastic process. Taking advantage of this result, we get the analytical solution and mean square displacement for the equation. …”
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Operator Inequalities of Morrey Spaces Associated with Karamata Regular Variation by Jiajia Wang, Zunwei Fu, Shaoguang Shi, Ling Mi

“…Karamata regular variation is a basic tool in stochastic process and the boundary blow-up problems for partial differential equations (PDEs). …”
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The Long Time Behavior of Equilibrium Status of a Predator-Prey System with Delayed Fear in Deterministic and Stochastic Scenarios by Weili Kong, Yuanfu Shao

“…Next, by perturbing the mortality rates of prey species and predator species, we stretch the deterministic system to the stochastic scenario and investigate the existence of stochastic process and the global asymptotical stability of the equilibrium status. …”
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2019-nCoV Transmission in Hubei Province, China: Stochastic and Deterministic Analyses by Zhiming Li, Zhidong Teng, Changxing Ma

“…Under R0>1, quasi-stationary distribution of the stochastic process is approximated by Gaussian diffusion. …”
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Evolutionary dynamics of prey-predator systems with Holling type II functional response by Jian Zu, Wendi Wang, Bo Zu

“…The evolutionarydynamics is constructed from a stochastic process of mutation andselection. We investigate the ecological and evolutionary conditionsthat allow for continuously stable strategy and evolutionarybranching. …”
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