GPstuff: Bayesian Modeling with Gaussian Processes

The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for Bayesian inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods. [abs] [ pdf ][ bib ] [ code ] &copy JMLR 2013. ( edit, beta )

Authors

• Jarno Vanhatalo
• Jaakko Riihimäki
• Jouni Hartikainen
• Pasi Jylänki
• Ville Tolvanen
• Aki Vehtari

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