Modeling sub-exponential epidemic growth dynamics through unobserved individual heterogeneity: a frailty model approach by Ping Yan, Gerardo Chowell

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Mitigation of Diffraction Effect in GNSS Positioning Considering Azimuth and PDOP in Canyon Environment by Qingfeng Wu, Xiaoya Wang, Houxiang Zhou

Subjects: “…position dilution of precision (PDOP) stochastic model…”
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Derivation and computation of discrete-delayand continuous-delay SDEs in mathematical biology by Edward J. Allen

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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

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Adaptive Time-Stepping Using Control Theory for the Chemical Langevin Equation by Silvana Ilie, Monjur Morshed

“…Stochastic modeling of biochemical systems has been the subject of intense research in recent years due to the large number of important applications of these systems. …”
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Economic and Sensitivity Analyses of Controllable Queues With Customer Feedback and Impatience Using Markovian Modeling by Shreekant Varshney, Mankumar Acharya, Zala Jenishkumar Kanjibhai, Mukesh Pushkarna, Walid El-Shafai, Ievgen Zaitsev

“…The findings of the study, which are based on stochastic modeling, are shown both tabularly and graphically. …”
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Assets Liability Management: A bibliometric analysis and topic modeling by Orlando Joaqui-Barandica, Diego Fernando Manotas-Duque

“…Los resultados permiten concluir que la investigación cuantitativa ha sido ampliamente explotada a través de las 6 temáticas: Financial risk management, Stochastic modeling, Pension funds, Capital markets and the insurance industry, Mean-variance models, General optimization models. …”
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Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes by Vladica S. Stojanović, Tanja Jovanović Spasojević, Radica Bojičić, Brankica Pažun, Zlatko Langović

“…Finally, the application of the proposed distribution in stochastic modeling of some real-world data with emphasized extreme values is provided.…”
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A Time Variant Outdoor-to-Indoor Channel Model for Mobile Radio Based Navigation Applications by Wei Wang, Thomas Jost, Uwe-Carsten Fiebig, Wolfgang Koch

“…In this paper, an outdoor-to-indoor channel model is proposed based on an extension of the geometry-based stochastic modeling approach to fulfill the requirements. …”
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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…During the research, stochastic modeling methods were used along with methods and models derived from graph theory, as well as tools and technologies of object-oriented programming for the development of systems for collecting data from mass media sources, and simulation modeling approaches.Results. …”
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A SIRS Epidemic Model Incorporating Media Coverage with Random Perturbation by Wenbin Liu

“…And for the corresponding stochastic epidemic model, we prove that the endemic equilibrium of the stochastic model is asymptotically stable in the large. …”
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Dynamic Behavior of a Stochastic Tungiasis Model for Public Health Education by Lili Kong, Luping Li, Shugui Kang, Youjun Liu, Wenying Feng

“…First, the existence and uniqueness of global positive solution of stochastic models are proved. Secondly, by constructing Lyapunov function and using Ito^ formula, sufficient conditions for disease extinction and persistence in the stochastic model are proved. …”
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On functionals of a marked Poisson process observed by a renewal process by Jewgeni H. Dshalalow, Jean-Baptiste Bacot

“…Many results are directly applicable to the time-dependent analysis of queues and other stochastic models via semi-regenerative techniques.…”
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Stochastic epidemic models with a backward bifurcation by Linda J. S. Allen, P. van den Driessche

“…For population sizes $N\geq 1000$, the deterministic and stochastic models agree,butfor small population sizes the stochastic models indicate that the backward bifurcation may have little effect on the disease dynamics.…”
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Stochastic simulation of soil moisture dynamics in farmland in the eastern region of the Songnen Plain. by Bo Meng, Jin Wang, Fanxiang Meng, Ennan Zheng, Tianxiao Li, Bowen Tang

“…It shows that the stochastic model can effectively simulate the probability density function of soil moisture in the study area, which can provide a theoretical basis and scientific method for efficiently using soil and water resources in the area.…”
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Annual Observations of Climatic Impacts in the Songhua River Basin, China by Xiaocheng Song, Liu Jing

“…In this study, based on annual observation data from the Songhua River Basin (Harbin, China), a regression and a stochastic model were used to analyze the relationship of the atmosphere-river daily maximum temperatures and evaluate the heat fluxes. …”
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The infection spread model among grouped drug users by Vytautas Tiešis

“… The stochastic model of an infection spread among intravenous drug users was built in the case when a group of drug users shares one filled syringe. …”
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Investigation on Computing Method of Martian Dust Fluid Based on the Energy Dissipation Method by Tianxiang Ding, Xuyan Hou, Man Li, Guangyu Cao, Jixuan Liu, Xianlin Zeng, Zongquan Deng

“…Secondly, this paper analyzed the characteristics of particles after their first collision, then, established the stochastic model of critical wind speed for the particle deposition process. …”
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Mathematical observations on the relation between eclosion periodsand the copulation rate of cicadas by Yasumasa Saisho

“…In many species of cicadas the peak of eclosion of males precedes that of females.In this paper, we construct a stochastic model and consider whether this sexual difference ofeclosion periods works against mating or not. …”
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Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification by Hong Jianwang, Ricardo A. Ramirez-Mendoza, Jorge de J. Lozoya Santos

“…When the observed input-output data are corrupted by the observed noises in the aircraft flutter stochastic model, we need to obtain the more exact aircraft flutter model parameters to predict the flutter boundary accuracy and assure flight safety. …”
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