2 papers
stat.CO2025
Gaussian Process Regression for Uncertainty Quantification: An Introductory Tutorial
Jinglai Li, Hongqiao Wang
Uncertainty Quantification (UQ) is essential for the reliable application of computational models in engineering and science. Among surrogate modeling techniques, Gaussian Process…
stat.CO2024
Model-Embedded Gaussian Process Regression for Parameter Estimation in Dynamical System
Ying Zhou, Jinglai Li, Xiang Zhou +1
Identifying dynamical system (DS) is a vital task in science and engineering. Traditional methods require numerous calls to the DS solver, rendering likelihood-based or least-squar…