Markov chain Monte Carlo for a hyperbolic Bayesian inverse problem in traffic flow modeling (2022)
Attributed to:
Turing AI Fellowship: Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL)
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1017/dce.2022.3
Publication URI: http://dx.doi.org/10.1017/dce.2022.3
Type: Journal Article/Review
Parent Publication: Data-Centric Engineering