Results 21 to 30 of about 20,470,336 (306)
Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function
Applied Sciences, 2022 Uncertainty quantification is widely used in engineering domains to provide confidence measures on complex systems. It often requires to accurately estimate extreme statistics on computationally intensive black-box models.
Loïc Brevault +2 more
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A Fractional Order Recovery SIR Model from a Stochastic Process [PDF]
Bulletin of Mathematical Biology, 2015 Over the past several decades, there has been a proliferation of epidemiological models with ordinary derivatives replaced by fractional derivatives in an ad hoc manner.
C. Angstmann +2 more
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New Journal of Physics, 2022 We apply tensor networks to counting statistics for the stochastic particle transport in an out-of-equilibrium diffusive system. This system is composed of a one-dimensional channel in contact with two particle reservoirs at the ends.
Jiayin Gu, Fan Zhang
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Markov processes of cubic stochastic matrices: Quadratic stochastic processes
Linear Algebra and its Applications, 2019 We consider Markov processes of cubic stochastic (in a fixed sense) matrices which are also called quadratic stochastic process (QSPs). A QSP is a particular case of a continuous-time dynamical system whose states are stochastic cubic matrices satisfying an analogue of the Kolmogorov-Chapman equation (KCE).
J.M. Casas, M. Ladra, U.A. Rozikov
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Characterization of Predictive Behavior of a Retina by Mutual Information
Frontiers in Computational Neuroscience, 2017 Probing a bullfrog retina with spatially uniform light pulses of correlated stochastic intervals, we calculate the mutual information between the spiking output at the ganglion cells measured with multi-electrode array (MEA) and the interval of the ...
Kevin Sean Chen +4 more
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Mathematics, 2020 Adding a linear trend in regressions is a frequent detrending method in economic literatures. The traditional literatures pointed out that if the variable considered is a difference-stationary process, then it will artificially create pseudo-periodicity ...
Zhiming LONG, Rémy HERRERA
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Domains and stochastic processes
Theoretical Computer Science, 2020 arXiv admin note: substantial text overlap with arXiv:1607 ...
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Zhileng xuebao, 2023 Reasonable optimization of the operation strategy is essential for saving energy in the long-term operation of heat pump systems. However, the strategy optimization process is susceptible to load uncertainty, which causes the optimized strategy to save ...
Liu Chengning +3 more
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Runoff as a Stochastic Process
International Journal of Mathematics and Computers in Simulation, 2022 Runoff stationary critical flow is investigated as a stochastic process by means of two routing simulation models, a stream confluence, which has beens interpreted as a Marcus- Lushnikov coalescence process, and a channel splitting model, which has ben interpreted as a Markov chain over a regular tree.
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Stochastic resetting and applications [PDF]
Journal of Physics A: Mathematical and Theoretical, 2019 In this topical review we consider stochastic processes under resetting, which have attracted a lot of attention in recent years. We begin with the simple example of a diffusive particle whose position is reset randomly in time with a constant rate r ...
M. Evans, S. Majumdar, G. Schehr
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