📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Fast Bayesian parameter estimation for stochastic logistic growth models. (2014)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.biosystems.2014.05.002

PubMed Identifier: 24906175

Publication URI: http://europepmc.org/abstract/MED/24906175

Type: Journal Article/Review

Volume: 122

Parent Publication: Bio Systems

ISSN: 0303-2647