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Quantum Coarse Graining for Extreme Dimension Reduction in Modeling Stochastic Temporal Dynamics
PRX Quantum, 2021 Stochastic modeling of complex systems plays an essential, yet often computationally intensive, role across the quantitative sciences. Recent advances in quantum information processing have elucidated the potential for quantum simulators to exhibit ...
Thomas J. Elliott
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Stochastic Frontier Models [PDF]
, 2008 The stochastic frontier model was first proposed in the context of production function estimation to account for the effect of technical inefficiency. The inefficiency causes actual output to fall below the potential level (that is, the production frontier) and also raises production cost above the minimum level (that is, the cost frontier).
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Modeling the freezing process of aqueous solutions considering thermal gradients and stochastic ice nucleation [PDF]
, 2023 Despite its importance to multiple scientific fields and industries, the freezing process of aqueous solutions is not yet completely understood. In particular, the relationship between temperature gradients within a solution and the occurrence of ...
Marco, Mazzotti +2 more
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MODEL EKSPONENSIAL GANDA PADA PROSES STOKASTIK (STUDI KASUS DI STASIUN PURWOSARI)
Media Statistika, 2015 In general, mathematical modeling is divided into two, namely the model of deterministic and stochastic models. On stochastic modeling involves several processes among them are the Poisson process, the process of Bernoulli, Gaussian processes, the ...
Sugito Sugito, Yuciana Wilandari
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Stochastic errors vs. modeling errors in distance based phylogenetic reconstructions [PDF]
, 2012 Dörr D, Gronau I, Moran S, Yavneh I. Stochastic errors vs. modeling errors in distance based phylogenetic reconstructions. Algorithms for Molecular Biology.
Gronau, Ilan +11 more
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MethodsXAir pollution poses a significant challenge to public health and the global environment. The Industrial Revolution, advancing technology and society, led to elevated air pollution levels, contributing to acid rain, smog, ozone depletion, and global ...
Nurtiti Sunusi +2 more
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Modeling of stochastic brain function in artificial intelligence
Наука и инновации в медицине, 2019 Objectivesresearch of stochastic brain function in respect to creation of artificial intelligence. Material and methods.Mathematical modeling principles were used for simulation of brain functioning in a stochastic mode.
Andrei N. Volobuev +4 more
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An integral representation of the local time of the Brownian motion via the Clark–Ocone formula
Results in Applied MathematicsLet (LB(t,x),t≥0,x∈R) be the local time of (Bt,t≥0), the real-valued one-dimensional Brownian motion. In this paper, in case of g, a strictly increasing and bijective function, we propose some integral representations of Lg(B)(t,x), of the form: R(t,x ...
Allaoui Omar +2 more
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On the expectation of the local time of the fractional Brownian motion
Scientific AfricanIn this paper, we prove some new formulas of the expectations of LBH and LBH the local time and the weighted local time of BH the fractional Brownian motion with Hurst parameter H.
Allaoui Omar +2 more
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Exploring new probability density functions related to Brownian local time
Kuwait Journal of ScienceThis work introduces a new family of probability density functions constructed from 𝐄[𝐿𝐵(1, 𝑥)], the expectation of the Brownian local time 𝐿𝐵(1, 𝑥) at time one.
Omar Allaoui +3 more
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