My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.

This is a paper dealing with truncation and censored data in the insurance agency. We go over Maximum Likelihood Estimation and the EM Algorithm for censored exponential data.

Machiene Learning and Application module open assessment