Bayesian methods for adaptive models
The bayesian framework for model comparison and regularisation is demonstrated by studying interpolation and classification problems modelled with both linear and non-linear models, quantitatively embodying "Occam's razor". The concepts and methods described are quite general and will be applicable to other data modelling problems whether they involve pregression, classification or density estimation
Thesis, Dissertation, English, 1998