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Subject:
GPdoemd - Design of experiments for model discrimination using Gaussian process surrogate models
From:
"Misener, Ruth" <[log in to unmask]>
Reply To:
Misener, Ruth
Date:
Mon, 17 Sep 2018 10:37:56 +0000
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Dear colleagues,

We announce the release of the GPdoemd open-source python package https://github.com/cog-imperial/GPdoemd by Simon Olofsson.

GPdoemd considers a setting with multiple rival mechanistic models and insufficient data to discriminate between them, i.e. to discard inaccurate models. GPdoemd performs model discrimination by suggesting the maximally informative next experimental design. GPdoemd extends analytic methods from classical literature by introducing Gaussian process surrogates to approximate the mechanistic models.

For more information: http://proceedings.mlr.press/v80/olofsson18a.html

Kind regards,

Ruth

------
Ruth Misener, PhD
[log in to unmask]<mailto:[log in to unmask]>

Tel: +44 (0) 20759 48315

http://wp.doc.ic.ac.uk/rmisener/

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