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Simulation and inference for stochastic processes with YUIMA: a comprehensive R framework for SDEs and other stochastic processes
The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA processes. The package performs various central stati...
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Lenguaje: | eng |
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Springer
2018
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-55569-0 http://cds.cern.ch/record/2622123 |