Design and simulation of airport congestion control algorithms by Simaiakis, Ioannis, Balakrishnan, Hamsa

“…This paper proposes a stochastic model of runway departures and a dynamic programming algorithm for their control at congested airports. …”
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Reliability updating of nonlinear dynamic systems using unknown vibration data by Nathaniel

“…Thus, the need of model updating emerged to assess the structures. In this study, stochastic model updating technique is used to account for the inevitable uncertainties due to lack of precise information. …”
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Likely equilibria of the stochastic Rivlin cube by Mihai, A, Woolley, T, Goriely, A

“…In addition, for the stochastic model, the problem is to derive the probability distribution of deformations, given the variability of the parameters.…”

Adaptive finite element method assisted by stochastic simulation of chemical systems by Cotter, S, Vejchodsky, T, Erban, R

“…Stochastic models of chemical systems are often analysed by solving the corresponding Fokker-Planck equation which is a drift-diffusion partial differential equation for the probability distribution function. …”

Wireless networks: What next for radiowave propagation research by Allen, B, Malik, W, Edwards, D

“…The physics of signal propagation mechanisms is now well understood and represented by deterministic and stochastic models. Frequency, spatial and polarisation properties of signal propagation have also been exploited. …”

Adaptive Finite Element Method Assisted by Stochastic Simulation of Chemical Systems by Cotter, S, Vejchodsky, T, Erban, R

“…Stochastic models of chemical systems are often analysed by solving the corresponding Fokker-Planck equation which is a drift-diffusion partial differential equation for the probability distribution function. …”

Distributed Sequential Consensus in Networks: Analysis of Partially Connected Blockchains with Uncertainty by Kushch, Sergii, Corchado, Juan Manuel, Prieto Castrillo, Francisco

“…To this end, we developed stochastic models for both verification probability once an error is detected and network breakdown when consensus is not possible. …”
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Two discrete models for semi-geostrophic dynamics by Baigent, S, Norbury, J

“…The second model, the doubly stochastic model, is a C 1 generalisation of the lattice model. …”

Deterministic limit of intracellular calcium spikes by Voorsluijs, V, Dawson, S, De Decker, Y, Dupont, G

“…Combining fully stochastic simulations and mean-field analyses, we demonstrate that these two approaches can be reconciled. Our fully stochastic model generates spike sequences that can be seen as noise-perturbed oscillations of deterministic origin, while displaying statistical properties in agreement with experimental data. …”

Fuzziness in analytic network process under interval numbers for criteria and alternatives by Ismail, Napsiah, Nehzati, Taravatsadat, Rashidi-Bajgan, Hannaneh

“…Whenever uncertainty is involved in the decision making process, fuzzy and stochastic models would be arisen. Recently, fuzzy theory for Multiple Attribute Decision Making (MADM) under interval numbers has attracted a lot of researchers. …”
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Content analysis of stochastic volatility model in discrete and continuous time setting by al-Hagyan, Mohammed, Misiran, Masnita, Omar, Zurni

“…In this study, a content analysis is conducted to extract information on mostly used enhancement-stochastic models available in literature.The finding indicates that stochastic volatility with long memory pioneers in SciVerse search engine, whereas stochastic volatility with jump is the highest numbers in publication, in particular the Google Scholar.…”
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Retrieval of refractivity fields from GNSS tropospheric delays: theoretical and data-based evaluation of collocation methods and comparisons with GNSS tomography by Shehaj, Endrit, Geiger, Alain, Rothacher, Markus, Moeller, Gregor

“…It contains functional and stochastic models that define the characteristics of the retrieved refractivity fields. …”
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The design of gene regulatory networks with feedback and small non-coding RNA by Harris, A

“…Both deterministic and stochastic models are studied. Dynamic responses of the circuits are also briefly compared. …”

Estimating the economic loss due to vibriosis in net-cage cultured Asian seabass Lates calcarifer: Evidence from the East coast of Peninsular Malaysia by Mohd Yazid, Siti Hajar, Mohd Daud, Hassan, Azmai Amal, Mohammad Noor, Mohamad, Nurliyana, Mohd Nor, Norhariani

“…The results showed that 71.09% of Asian seabass simulated in the stochastic model survived. The mortality rate due to vibriosis and other causes was at 16.23 and 12.68%, respectively. …”

Mathematical modeling of cancer growth process: A review by Tabassum, Shabana, Norhayati, Rosli, Mazma Sayahidatul Ayuni, Mazalan

“…In this article we review the deterministic and stochastic models that have been developing to discuss the tumor growth initiation and proliferation. …”
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Smart finite state devices: A modeling framework for demand response technologies by Turitsyn, Konstantin, Backhaus, Scott, Ananyev, Maxim, Chertkov, Michael

“…Our analysis of the devices seeks to find their optimal price-taking control strategy under a given stochastic model of the distribution market.…”
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Zonostrophic instability driven by discrete particle noise by St-Onge, D, Krommes, J

“…The scenario provides a new interpretation of the random forcing that is ubiquitously invoked in stochastic models such as the second-order cumulant expansion or stochastic structural instability theory; neither intrinsic turbulence nor coupling to extrinsic turbulence is required. …”

On the convergence of stochastic MPC to terminal modes of operation by Munoz-Carpintero, D, Cannon, M

“…The stability of stochastic Model Predictive Control (MPC) subject to additive disturbances is often demonstrated in the literature by constructing Lyapunov-like inequalities that guarantee closed-loop performance bounds and boundedness of the state, but convergence to a terminal control law is typically not shown. …”

Using Bayesian inference to understand the allocation of resources between sexual and asexual reproduction by Metcalf, C, Stephens, D, Rees, M, Louda, S, Keeler, K

“…We indicate how, to make inference on life history transitions involving both missing information and density dependence, the stochastic models underlying each component can be combined with each other and with priors to obtain expressions that can be directly sampled. …”

Path dependence and the quest for historical economics: One more chorus of the ballad of QWERTY by David, PA

“…PD is shown to be neither necessary nor sufficient for the existence of ‘market failure’, although the two properties may arise from common structural features. A variety of stochastic models are PD and yet exhibit diverse properties in regard to predictability and ‘lock-in.’ …”