Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty. (2015)

First Author: Green PL
Attributed to:  Engineering Nonlinearity funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1098/rsta.2014.0405

PubMed Identifier: 26303916

Publication URI: http://europepmc.org/abstract/MED/26303916

Type: Journal Article/Review

Volume: 373

Parent Publication: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Issue: 2051

ISSN: 1364-503X