RT Journal Article
T1 Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes.
A1 Barrera-García, Antonio Jesús
A1 Román-Román, Patricia
A1 Torres-Ruiz, Francisco
K1 Dinámica
K1 Procesos de difusión
K1 Distribución gaussiana
AB 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.
PB Elsevier
YR 2013
FD 2013-01-01
LK https://hdl.handle.net/10630/37635
UL https://hdl.handle.net/10630/37635
LA spa
NO 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.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026