Introduction to Neutrosophic Stochastic Processes [PDF]
Neutrosophic Sets and Systems, 2023 In this article, the definition of literal neutrosophic stochastic processes is presented for the first time in the form 𝒩𝑡 = 𝜉𝑡 + 𝜂𝑡𝐼 ;𝐼 2 = 𝐼 where both {𝜉(𝑡),𝑡 ∈ 𝑇} and {𝜂(𝑡),𝑡 ∈ 𝑇} are classical real valued stochastic processes.
Mohamed Bisher Zeina, Yasin Karmouta
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Estimation of the Cross-Covariance Function of Stationary Stochastic Processes [PDF]
The Egyptian Statistical Journal, 1978 The problem of estimating the cross-covariance function of two Gaussian stationary stochastic processes has been considered. Two estimators are proposed.
N. Abd Rabbo, A. Abdel Fattah, M. Gabre
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Density regulation amplifies environmentally induced population fluctuations [PDF]
PeerJ, 2023 Background Density-dependent regulation is ubiquitous in population dynamics, and its potential interaction with environmental stochasticity complicates the characterization of the random component of population dynamics. Yet, this issue has not received
Crispin M. Mutshinda +3 more
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Characterization of ground oscillations induced by underground mining [PDF]
Podzemni Radovi, 2022 We examine ground acceleration during M1.5 and M2.0 seismic events induced by underground mining at Upper Silesian coal basin and Legnica Glogow copper mine, respectively, using methods of nonlinear time series analysis, in order to confirm its ...
Kostić Srđan, Vasović Nebojša
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Trends and random walks in macroeconomics time series: The unit root test considerations [PDF]
اقتصاد باثبات, 2022 In the time series econometric literature, data generation and stationary are important issues in model selection and estimation method. Difference Stationary and Trend Stationary processes are data generation procedures.
Mehdi Fathabadi
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Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes
Complexity, 2022 The problem of finding optimal sampling schemes has been resolved in two models. The novelty of this study lies in its cost efficiency, specifically, for the applied problems with expensive sampling process.
Mohammad Mehdi Saber +4 more
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Mutual information rate between stationary Gaussian processes
Results in Applied Mathematics, 2020 Mutual information rate is an extension of the notion of mutual information to pairs of stationary stochastic processes. This quantity is defined as the time-averaged mutual information between corresponding segments of a pair of stationary stochastic ...
Arash Komaee
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Hierarchical method for mathematical modeling of stochastic thermal processes in complex electronic systems [PDF]
Компьютерные исследования и моделирование, 2019 A hierarchical method of mathematical and computer modeling of interval-stochastic thermal processes in complex electronic systems for various purposes is developed.
Alexander Georgievitch Madera
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Extreme Characteristics of a Stochastic Non-Stationary Duffing Oscillator
Engineering Proceedings, 2023 Unexpected responses in dynamic systems can lead to catastrophic failures. Without full knowledge of the system, it is impossible to know whether all of the dynamics have been captured or considered. Furthermore, a large number of Monte Carlo simulations
Samuel J. Edwards +2 more
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Non-Stationary Stochastic Global Optimization Algorithms
Algorithms, 2022 Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main
Jonatan Gomez, Andres Rivera
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