Definition of Term: Bayes linear variance learning

Learning about the variance \(\sigma^2\) of a complex model can be a challenging problem. The Bayes Linear approach is to make a standard Bayes Linear adjustment of our prior beliefs about \(\sigma^2\) using the observed sample variance and exploiting certain weak assumptions about model behaviour (second-order exchangeability).