An In-Depth Guide to Gaussian Process Regression

Training, Predicting, and Understanding Uncertainty with GPR

Gaussian process regression (GPR) is a powerful tool for regression tasks, particularly when uncertainty quantification is crucial. While it has limitations in terms of scalability, its flexibility and interpretability make it a valuable method in many scientific and engineering disciplines.

This article shows how to create a time series algorithm based…