Gaussian Process Regression and Conditional Polynomial Chaos for Parameter Estimation

Jing Li, Alexandre M Tartakovsky

We present a new approach for constructing a data-driven surrogate model and using it for Bayesian parameter estimation in partial differential equation (PDE) models. We first use…