Back to matchesWe found a matchYour institution may have access to this item. Find your institution then sign in to continue.TitleGPstuff: Bayesian Modeling with Gaussian Processes.AuthorsVanhatalo, Jarno; Riihimäki, Jaakko; Hartikainen, Jouni; Jylänki, Pasi; Tolvanen, Ville; Vehtari, AkiAbstractThe 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.SubjectsGAUSSIAN processes; BAYESIAN analysis; COMPUTER simulation; SPARSE approximations; NONPARAMETRIC statistics; MATHEMATICAL analysisPublicationJournal of Machine Learning Research, 2013, Vol 14, Issue 4, p1175ISSN1532-4435Publication typeArticle