Hierarchical Bayesian Regression (HBR) and Analytic Gradient Calculation (GCGP)
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下载链接：
http://researchdata.gla.ac.uk/id/eprint/351
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资源简介：
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.
提供机构：
University of Glasgow
创建时间：
2016-09-09
