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This book presents Seymour Geisser's views on predictive or observable inference and its advantages over parametric inference. It focuses on the predictive applications of the Bayesian approach. The book also presents predictive analyses that have no real parametric analogues.
While this 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.
A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations of different statistical modes of parametric inference.
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