Document Detail

Fitting dynamic growth models of biological phenomena from sample observations through Gaussian diffusion processes.
MedLine Citation:
PMID:  23313515     Owner:  NLM     Status:  Publisher    
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.
Antonio J Barrera-García; Patricia Román-Román; Francisco Torres-Ruiz
Related Documents :
23937175 - Biological insight, high-throughput datasets and the nature of neuro-degenerative disor...
18816535 - Comparative photostability studies of bodipy and fluorescein dyes by using fluorescence...
23162085 - Bridging the scales: semantic integration of quantitative sbml in graphical multi-cellu...
10834365 - Predictions of binary sorption isotherms for the sorption of heavy metals by pine bark ...
15319745 - Testing the accuracy of demographic estimates in countries with generalized epidemics.
23743155 - New protocol for αastree electronic tongue enabling full performance qualification acc...
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.
Departamento de Estadística e Investigación Operativa, Universidad de Granada, Spain.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Output stream of inhibitory neuron with delayed feedback.
Next Document:  A new animal model of (chronic) depression induced by repeated and intermittent lipopolysaccharide a...