📣 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 Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment (2019)

First Author: Oates C

Attributed to: Inference, COmputation and Numerics for Insights into Cities (ICONIC) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/01621459.2019.1574583

Publication URI: http://dx.doi.org/10.1080/01621459.2019.1574583

Type: Journal Article/Review

Parent Publication: Journal of the American Statistical Association

Issue: 528