Talk
in
Tutorial: The Art of Gaussian Processes: Classical and Contemporary
Fundamentals of Bayesian Inference
Felipe Tobar
Abstract:
We revise the main components of Bayesian inference underpinning the treatment of the Gaussian process. Adopting an illustrative approach, we review statistical models, the approaches to learning the model parameters and the effect of the parameters’ cardinality.