A DTW based covariance function is developed for Gaussian Processes.
We apply this method to identify marker shales in iron ore mines.
The results are compared to those using only Gaussian Processes or Dynamic Time Warping.
The new function combines the flexibility of the DTW with the probabilistic framework of the GP.