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Book synopsis

This book deals with a basic problem arising within the Bayesian approach 1 to scientific methodology, namely the choice of prior probabilities. The problem will be considered with special reference to some inference methods used within Bayesian statistics (BS) and the so-called theory of inductive 2 probabilities (T/P). In this study an important role will be played by the assumption - defended by Sir Karl Popper and the supporters of the current verisimilitude theory (VT) - that the cognitive goal of science is the achievement of a high degree of truthlikeness or verisimilitude. A more detailed outline of the issues and objectives of the book is given in Section 1. In Section 2 the historical background of the Bayesian approach and the verisimilitude theory is briefly illustrated. In Section 3, the methods used in TIP and BS for making multinomial inference~ are considered and some conceptual relationships between TIP and BS are pointed out. In Section 4 the main lines of a new approach to the problem of the choice of prior probabilities are illustrated. Lastly, in Section 5 the structure of the book is described and a first explanation of some technical terms is provided.

Book details

Book category Books in English Humanities Philosophy Philosophy: epistemology & theory of knowledge

• Full title: Optimum Inductive Methods
• Subtitle: A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude
• Author: R. Festa
• Language: English
• Binding: Paperback
• Number of pages: 194
• EAN: 9789048143184
• ISBN: 9048143187
• ID: 02715416
• Publisher: Springer
• Weight: 330 g
• Dimensions: 223 × 152 × 12 mm
• Date of publishing: 07. December 2010

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