Examples

The Python scripts and the corresponding notebooks of the examples are located in \examples directory. In addition, a full emulation and calibration example with Gaussian process models can be found at surmise Jupyter notebook.

In addition, for a gentle introduction of emulation and calibration using Gaussian processes, visit surmise Jupyter notebook.

Example 1

To illustrate how the surmise’s emulator object works in practice, we use the falling ball example.

Link to Example 1.

Example 2

To illustrate how the surmise’s calibrator object works in practice, we use Example 1’s falling ball example.

Link to Example 2.

Example 3

This example is discussed in Chapter 8 in Gramacy, 2020.

It demonstrates how to use surmise’s emulator and calibrator objects.

Link to Example 3.

Example 4

This example illustrates the Bayesian parameter inference of Susceptible-Infected Recovered (SIR) type epidemic model via surmise’s emulator and calibrator objects.

Although there are many model parameters, we estimated most of them based on the epidemiological studies of COVID-19, and infer only 10 influential parameters in this example.

Link to Example 4.