Bayesian Analysis of Loss Ratios Using the Reversible Jump Algorithm
  In this paper we consider the problem of model choice for a set of insurance loss ratios. We use a reversible jump algorithm for our model discrimination and show how the vanilla reversible jump algorithm can be improved on using recent methodological advances in reversible jump computation. 
Garfield Brown and Steve Brooks
stat.AP stat.CO