This book offers to bridge the gap between the traditional Bayesian hypothetical approach and the completely predictive approach providing a unified point of view. The authors generate the prior distribution by means of assumptions drawn on predictive distributions of future observations. This data is then used in Bayesian methodology for making predictions.