# bayeso.tp¶

These files are for implementing Student-$$t$$ process regression. It is implemented, based on the following article:

(i) Rasmussen, C. E., & Williams, C. K. (2006). Gaussian Process Regression for Machine Learning. MIT Press.

(ii) Shah, A., Wilson, A. G., & Ghahramani, Z. (2014). Student-t Processes as Alternatives to Gaussian Processes. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (pp. 877-885).