Bayesian system identification of dynamical systems using large sets of training data: A MCMC solution (2015)
Attributed to:
Engineering Nonlinearity
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.probengmech.2015.09.010
Publication URI: http://dx.doi.org/10.1016/j.probengmech.2015.09.010
Type: Journal Article/Review
Parent Publication: Probabilistic Engineering Mechanics