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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimum Inductive Methods: A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude

Optimum Inductive Methods: A Study in Inductive Probability, Bayesian Statistics, and Verisimilitude

Festa, R.

Hardcover

Series: Synthese Library, Book 232

PhilosophyLogicProbability & Statistics

ISBN10: 0792324609
ISBN13: 9780792324607
Publisher: Springer Nature
Published: Sep 30 1993
Pages: 194
Weight: 1.05
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
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.

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