Emulating dynamic non-linear simulators using Gaussian processes
Authors:
- Hossein MohammadiHMHossein Mohammadi
- Peter ChallenorPCPeter Challenor
- Marc GoodfellowMGMarc Goodfellow
Open Access
- 1 November 2019
- journal article
- research article
- Published by Elsevier in Computational Statistics & Data Analysis
- Vol. 139, 178-196
Abstract
No abstract availableKeywords
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Funding Information
- EPSRC (EP/N014391/1)
- Wellcome Trust (WT105618MA)
- EPSRC (EP/P021417/1)
This publication has 36 references indexed in Scilit:
- Classifying dynamic transitions in high dimensional neural mass models: A random forest approachPLOS Computational Biology, 2018
- Bayesian Emulation and Calibration of a Dynamic Epidemic Model for A/H1N1 InfluenzaJournal of the American Statistical Association, 2014
- Multivariate Gaussian Process Emulators With Nonseparable Covariance StructuresTechnometrics, 2012
- Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in LondonProceedings of the National Academy of Sciences, 2011
- Bayesian emulation of complex multi-output and dynamic computer modelsJournal of Statistical Planning and Inference, 2010
- Gaussian process emulation of dynamic computer codesBiometrika, 2009
- Recent advances in surrogate-based optimizationProgress in Aerospace Sciences, 2009
- Computer model validation with functional outputThe Annals of Statistics, 2007
- A review on design, modeling and applications of computer experimentsIIE Transactions, 2006
- The Probability of Rapid Climate ChangeSignificance, 2004