The mathematics of Gaussian process regression is complex. There are hundreds of web pages and hundreds of hours of video that attempt to explain GPR ... process regression model is simultaneously ...

This project is motivated to apply multi-fidelity data fusion algorithms to the regression problem in turbulent transport modeling in magnetic fusion plasma. The developed module will be available as ...

In this work, we develop a physic-informed Gaussian process regression algorithm based on Hamel's formalism and its variational integrator. Computational properties are illustrated by the numerical ...

Regression analysis or classification using Bayesian formulation and specifically Gaussian Processes ... Carlo (ABC-SMC) algorithm and the selection of the different hyperparameters required for its ...