Fast parameter inference in a biomechanical modelof the left ventricle by using statistical emulation
Davies, V., Noè, U., Lazarus, A., Gao, H., Macdonald, B., Berry, C., Luo, X. and Husmeier, D. (2019). Fast Parameter Inference in a Biomechanical Model of the Left Ventricle using Statistical Emulation. Journal of the Royal Statistical Society - Series C (Applied Statistics).
There are two methods compared in the paper: the Local GP Method and the Low-Rank GP Method. The code for these methods can be found in the folders called method-localgp (MATLAB code) and method-low-rank-gps (R code) respectively, with each folder containing a README file to explain how to use the code.
The simulated data is available at \method-localgp\Simulations\Design4D, while the data for the healthy
volunteer is available at \method-localgp\Data\Stacked\DataHV.mat. The first column of the files
YTrain4D*, YTest4D*, and DataHV.mat contains the LV chamber volume measurement,
while the remaining columns represent the 24 strain measurements.
Paper: https://rss.onlinelibrary.wiley.com/doi/epdf/10.1111/rssc.12374
Preprint: https://arxiv.org/abs/1905.06310