Document Detail


Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes.
MedLine Citation:
PMID:  23313515     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Antonio J Barrera-García; Patricia Román-Román; Francisco Torres-Ruiz
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-8
Journal Detail:
Title:  Bio Systems     Volume:  -     ISSN:  1872-8324     ISO Abbreviation:  BioSystems     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier Ireland Ltd.
Affiliation:
Departamento de Estadística e Investigación Operativa, Universidad de Granada, Spain.
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