Stats4Grads: Chocolate, X-Rays and Bayes Linear Methods
4 November 2015 13:00 in CM105
Bayes Linear Methods offer a generalisation to the Bayesian approach where the, often unrealistic, requirement for a full prior probabilistic specification is relaxed. In this talk I will discuss the foundations of Bayes linear statistical inference, taking expectation, not probability, to be the primitive quantity. The talk will be illustrated with 'glamorous' examples from the X-ray industry, particularly developing an on-line algorithm for detecting plastic containment in a popular brand of chocolate.
Contact firstname.lastname@example.org for more information
See the Stats4Grads page for more details about this series.