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    gptools: Scalable Gaussian Process Inference with Stan por Till Hoffmann, Jukka-Pekka Onnela

    Publicado 2025-03-01

    Gaussian processes (GPs) are sophisticated distributions to model functional data. Whilst theoretically appealing, they are computationally cumbersome except for small datasets. We implement two methods for scaling GP inference in Stan: First, a general sparse approximation using a directed acyclic...

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