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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment

Lookup NU author(s): Professor Chris OatesORCiD

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by American Statistical Association, 2019.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Oates CJ, Cockayne J, Aykroyd RG, Girolami M

Publication type: Article

Publication status: Published

Journal: Journal of the American Statistical Association

Year: 2019

Volume: 114

Issue: 528

Pages: 1518-1531

Online publication date: 22/02/2019

Acceptance date: 12/12/2018

Date deposited: 05/02/2019

ISSN (print): 0162-1459

ISSN (electronic): 1537-274X

Publisher: American Statistical Association

URL: https://doi.org/10.1080/01621459.2019.1574583

DOI: 10.1080/01621459.2019.1574583

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