Imperial College London
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ProfessorRuthMisener

Faculty of Engineering, Department of Computing

Professor in Computational Optimisation
 
 
 
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Contact

 

+44 (0)20 7594 8315r.misener Website CV

 
 
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Location

 

379Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Olofsson:2019,
author = {Olofsson, S and Misener, R},
journal = {Computers & Chemical Engineering},
title = {GPdoemd: a python package for design of experiments for model discrimination},
url = {http://arxiv.org/abs/1810.02561v1},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - GPdoemd is an open-source python package for design of experiments for model discrimination that uses Gaussian process surrogate models to approximate and maximise the divergence between marginal predictive distributions of rival mechanistic models. GPdoemd uses the divergence prediction to suggest a maximally informative next experiment.
AU  - Olofsson,S
AU  - Misener,R
PY  - 2019///
TI  - GPdoemd: a python package for design of experiments for model discrimination
T2  - Computers & Chemical Engineering
UR  - http://arxiv.org/abs/1810.02561v1
UR  - http://hdl.handle.net/10044/1/63850
ER  -
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