 Gaussian process emulator

A Gaussian process emulator is a statistical model used to approximate complex, often expensive computational simulations, such as those found in engineering, physics, or climatology. The goal of an emulator is to provide a simpler and faster way to predict the output of a simulation model across various input parameters, thereby facilitating tasks like optimization, uncertainty quantification, and sensitivity analysis. ### Key Components 1.