Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple - Hardcover

 
9780521803618: Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple

Synopsis

The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor. A problem with Ockham's Razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this monograph examines simplicity by asking six questions: What is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience?

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Book Description

The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. Using a multidisciplinary perspective this monograph asks six questions: What is meant by simplicity?, How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience?

Review

"This lively and informative exposition of several points of view...will make this book pleasurable reading for not only philosophers of science and epistemologists, but also for those data analysts interested in formalizing the foundations that guide and shape their modeling practices." Journal of American Statistical Association

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Other Popular Editions of the Same Title

9780521121354: Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple

Featured Edition

ISBN 10:  0521121353 ISBN 13:  9780521121354
Publisher: Cambridge University Press, 2009
Softcover