Results 21 to 30 of about 3,581,558 (296)

Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme

Journal of Advances in Modeling Earth Systems, 2023
A new spectral convection scheme, the stochastic unified convection scheme (stochastic UNICON), is implemented in a general circulation model. The global climate simulation using stochastic UNICON is evaluated and compared with UNICON, focusing on the ...
Jihoon Shin, Jong‐Jin Baik
doaj   +1 more source

StochPy: a comprehensive, user-friendly tool for simulating stochastic biological processes. [PDF]

PLoS ONE, 2013
Single-cell and single-molecule measurements indicate the importance of stochastic phenomena in cell biology. Stochasticity creates spontaneous differences in the copy numbers of key macromolecules and the timing of reaction events between genetically ...
Timo R Maarleveld, Brett G Olivier, Frank J Bruggeman   +2 more
doaj   +1 more source

Bayesian³ Active Learning for the Gaussian Process Emulator Using Information Theory

Entropy, 2020
Gaussian process emulators (GPE) are a machine learning approach that replicates computational demanding models using training runs of that model. Constructing such a surrogate is very challenging and, in the context of Bayesian inference, the training ...
Sergey Oladyshkin, Farid Mohammadi, Ilja Kroeker, Wolfgang Nowak   +3 more
doaj   +1 more source

A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile

Journal of Biological Dynamics, 2023
A computational approach is adapted to analyze the parameter identifiability of a compartmental model. The model is intended to describe the progression of the COVID-19 pandemic in Chile during the initial phase in early 2020 when government declared ...
Raimund Bürger, Gerardo Chowell, Ilja Kröker, Leidy Yissedt Lara-Díaz   +3 more
doaj   +1 more source

Intrinsic Simulations between Stochastic Cellular Automata [PDF]

Electronic Proceedings in Theoretical Computer Science, 2012
The paper proposes a simple formalism for dealing with deterministic, non-deterministic and stochastic cellular automata in a unifying and composable manner.
Pablo Arrighi, Nicolas Schabanel, Guillaume Theyssier   +2 more
doaj   +1 more source

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, Zygalakis, Konstantinos C., Kevin Burrage, Manuel Barrio, Zygalakis, Konstantinos C, Székely, Tamás, Burrage, Kevin, Barrio, Manuel, Szekely Jr, Tamas, Tamás Székely, Konstantinos C Zygalakis, Zygalakis, Konstantinos   +11 more
core   +2 more sources

The Connection between Bayesian Inference and Information Theory for Model Selection, Information Gain and Experimental Design

Entropy, 2019
We show a link between Bayesian inference and information theory that is useful for model selection, assessment of information entropy and experimental design.
Sergey Oladyshkin, Wolfgang Nowak
doaj   +1 more source

Trajectories as Training Images to Simulate Advective‐Diffusive, Non‐Fickian Transport

Water Resources Research, 2019
We propose a spatial Markov model to simulate transport in three‐dimensional complex porous media flows. Our methodology is inspired by the concept of training images from geostatistics.
Sebastian Most, Diogo Bolster, Branko Bijeljic, Wolfgang Nowak   +3 more
doaj   +1 more source

FERN – a Java framework for stochastic simulation and evaluation of reaction networks

BMC Bioinformatics, 2008
Background Stochastic simulation can be used to illustrate the development of biological systems over time and the stochastic nature of these processes.
Zimmer Ralf, Friedel Caroline C, Erhard Florian   +2 more
doaj   +1 more source

Estimation of Hydropower Potential Using Bayesian and Stochastic Approaches for Streamflow Simulation and Accounting for the Intermediate Storage Retention

Energies, 2022
Hydropower is the most widely used renewable power source worldwide. The current work presents a methodological tool to determine the hydropower potential of a reservoir based on available hydrological information.
Katerina Spanoudaki, Panayiotis Dimitriadis, Emmanouil A. Varouchakis, Gerald A. Corzo Perez   +3 more
doaj   +1 more source