Practical hilbert space approximate bayesian gaussian processes for probabilistic programming

HIGHLIGHTS

• who: Gabriel Riutort-Mayol from the Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Valencia, Spain have published the paper: Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming, in the Journal: (JOURNAL)
• what: The authors focus on a approximate processes based on a basis function approximation via Laplace eigenfunctions for stationary covariance functions. In this paper, the interactions among the key factors of the method such as the number of basis functions, domain of the prediction space, and properties of the true functional relationship between covariates and response . . .
  

   

  

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