The author's research has been directed towards inference involving observables rather than parameters and in this book he brings together his views on predictive or observable inference and his reason for his preference. He feels that inference couched in terms of observables has the possibility of being validated. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and non-stochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for...