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

Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes. Barrera-García, Antonio Jesús Román-Román, Patricia Torres-Ruiz, Francisco Dinámica Procesos de difusión Distribución gaussiana 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. 2025-02-03T11:35:04Z 2025-02-03T11:35:04Z 2025-02-03T11:35:04Z 2013-01-01 journal article 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 spa open access Elsevier