After outlining the basic principles we briefly explain how what
has come to be known as the “Bayesian approach” has evolved. We
then explain a little of the notion of probability and the relationships
between probability, data, statistics, knowledge and experience. This
leads to a discussion of presenting an evaluation to a court. Finally, we
make remarks that seem relevant to us about related issues such as:
the transposed conditional; the distinction between the Bayesian
approach and Bayes' Theorem; and exposure to wider debate.