Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes |
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Authors: | Antonio J. Barrera-Garcí a,Patricia Romá n-Romá nFrancisco Torres-Ruiz |
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Affiliation: | Departamento de Estadística e Investigación Operativa, Universidad de Granada, Spain |
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Abstract: | This paper addresses the building of stochastic models that adequately describe dynamic phenomena and, in particular, those that occur in the Biosciences. In this context, the empirical fitting of a Gaussian diffusion process from sample data of a dynamic growth phenomenon is considered. In order to do this, a methodology based on approximations to its mean and variance functions is presented. Finally, several applications based on simulated and real data have been carried out. |
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Keywords: | Dynamic systems Stochastic modeling Diffusion process Gaussian diffusion process |
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