📣 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.

Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry. (2016)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rsif.2016.0279

PubMed Identifier: 27558850

Publication URI: http://europepmc.org/abstract/MED/27558850

Type: Journal Article/Review

Volume: 13

Parent Publication: Journal of the Royal Society, Interface

Issue: 121

ISSN: 1742-5662