readme.md

TvGP code

This repository contains code to support the paper “Tensor-variate Gaussian process regression for efficient emulation of complex systems: comparing regressor and covariance structures in outer product and parallel partial emulators” by Semochkina¹, Jackson² and Woods¹.

The code is structured as follows:

• each of the folders “influenza_model” and “environmental_model” contains code to generate example results from the paper for the respective simulators;
• within each of these folders, there is an “*_emulation.R” script that runs the emulation and produces the results;
• the “code” folder in the parent directory contains common functions;
• the “code” folders for each model contain specific functions used in the emulation scripts;
• the “data” folders contain the data used in the emulation scripts.

Footnotes

1. University of Southampton, Southampton, UK ↩ ↩²

2. Durham University, Durham, UK ↩