Aderhold, A., Husmeier, D. and Grzegorczyk, M. (2016) Hierarchical Bayesian Regression (HBR) and Analytic Gradient Calculation (GCGP). [Data Collection]
Related Enlighten Publications
Collection description
The software contains two components: The HBR code and the gradient calculation code (GCGP) that uses the Gaussian Process package GPstuff (http://research.cs.aalto.fi/pml/software/gpstuff/) by:
Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, and Aki Vehtari (2013). GPstuff: Bayesian Modeling with Gaussian Processes. Journal of Machine Learning Research, 14(Apr):1175-1179
The HBR code was originally written by Marco Grzegorczyk, and adapted by Andrej Aderhold for the Biopepa data. It is located in the subfolder 'HBR/', see Section A. for details.
The GCGP code was written by Andrej Aderhold, and uses sub-routines from the GPstuff, version 4.4 software that is under the GNU GPL license. It is located in the subfolder GCGP, see Section B. for details.
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| College / School: | College of Science and Engineering > School of Mathematics and Statistics |
| Date Deposited: | 09 Sep 2016 08:13 |
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| Statement on legal, ethical and access issues: | HBR is available for use under the following license, commonly known Copyright (c) 2013-2016 Marco Gzegorczyk and Andrej Aderhold GCGP software is distributed under the GNU General Public License (version 3 or later); please refer to the file License.txt, included with the software, for details. |
| URI: | https://researchdata.gla.ac.uk/id/eprint/351 |
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