Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment-Reference-Cited by-同舟云学术

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

Author:

Oates Chris J.¹²,Cockayne Jon³,Aykroyd Robert G.⁴,Girolami Mark²⁵

Affiliation:

1. School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK;

2. Alan Turing Institute, London, UK;

3. Department of Statistics, University of Warwick, Coventry, UK;

4. School of Mathematics, University of Leeds, Leeds, UK;

5. Department of Mathematics, Imperial College London, London, UK

Funder

Division of Mathematical Sciences

Engineering and Physical Sciences Research Council

Lloyd's Register Foundation

Australian Research Council

Lloyd’s Register Foundation

Royal Academy of Engineering

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

Reference77 articles.

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