Results 31 to 40 of about 700,908 (311)
Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method [PDF]
, 2014 BackgroundBiochemical systems with relatively low numbers of components must be simulated stochastically in order to capture their inherent noise. Although there has recently been considerable work on discrete stochastic solvers, there is still a need ...
Barrio Solórzano, Manuel +11 more
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Journal of Inequalities and Applications, 2018 We consider a kind of nonsmooth optimization problems with l1 $l_{1}$-norm minimization, which has many applications in compressed sensing, signal reconstruction, and the related engineering problems.
Shouqiang Du, Miao Chen
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Local linear approach: Conditional density estimate for functional and censored data
Demonstratio Mathematica, 2022 Let YY be a random real response, which is subject to right censoring by another random variable CC. In this paper, we study the nonparametric local linear estimation of the conditional density of a scalar response variable and when the covariable takes ...
Benkhaled Abdelkader, Madani Fethi
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Stochastic entrainment of a stochastic oscillator
Physical Review E, 2015 In this work, we consider a stochastic oscillator described by a discrete-state continuous-time Markov chain, in which the states are arranged in a circle, and there is a constant probability per unit time of jumping from one state to the next in a specified direction around the circle.
Guanyu, Wang, Charles S, Peskin
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Stochastic programming approaches to stochastic scheduling [PDF]
Journal of Global Optimization, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John R. Birge, Michael A. H. Dempster
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Stochastic Synthesis for Stochastic Computing
CoRR, 2018 Stochastic computing (SC) is an emerging computing technique which offers higher computational density, and lower power over binary-encoded (BE) computation. Unlike BE computation, SC encodes values as probabilistic bitstreams which makes designing new circuits unintuitive.
Vincent T. Lee +3 more
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International Journal of Mining Science and Technology, 2023 This article presents a novel approach to integrate a throughput prediction model for the ball mill into short-term stochastic production scheduling in mining complexes.
Christian Both, Roussos Dimitrakopoulos
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Stochastic counterfactuals and stochastic sufficient causes [PDF]
Statistica Sinica, 2012 Most work in causal inference concerns deterministic counterfactuals; the literature on stochastic counterfactuals is small. In the stochastic counterfactual setting, the outcome for each individual under each possible set of exposures follows a probability distribution so that for any given exposure combination, outcomes vary not only between ...
Tyler J, Vanderweele, James M, Robins
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, 2021 A one-dimensional stochastic model for the axial dipole moment of the Earth's magnetic ...
Bruce Buffett
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BMC Bioinformatics, 2022 Background Identifying drug–target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are expensive and time consuming. Effective computational methods to predict DTIs are useful to narrow the searching
Junjun Zhang, Minzhu Xie
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