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oai:riuma.uma.es:10630/376352026-02-03T11:06:15Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Barrera-García, Antonio Jesús author Román-Román, Patricia author Torres-Ruiz, Francisco author 2013-01-01 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. Barrera-García, A. J., Román-Román, P., & Torres-Ruiz, F. (2013). Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes. Biosystems, 112(3), 284–291. https://hdl.handle.net/10630/37635 10.1016/j.biosystems.2012.12.007 Dinámica Procesos de difusión Distribución gaussiana Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes.