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Making Statistics Work: Information Theory and Bayesian Inference

Contributor(s): Foley, Duncan (Author), Scharfenaker, Ellis (Author)

ISBN: 9780231222044

Publisher: Columbia University Press

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Pub Date: July 14, 2026

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.71" H x 9.21" L x 6.14" W ( 0.99 lbs) 320 pages

Descriptions, Reviews, etc.

Description: Making Statistics Work presents a synthesis of information theory and Bayesian inference that provides a consistent, powerful, and flexible framework for data inference, allowing for new approaches to many of the unresolved questions of statistics.

Brief description: Duncan Foley is Leo Model professor of economics at the New School for Social Research and external professor of the Santa Fe Institute. He is author of Unholy Trinity: Labor, Capital and Land in the New Economy(2003), and Adam's Fallacy: A Guide to Economic Theology (2006).

Review Quotes: Making Statistics Work introduces a robust framework that brings together information theory and Bayesian inference through entropy-maximizing priors. Offering both readability and rigor, this book is a refreshing alternative to the conventional statistical education.--Jangho Yang, University of Waterloo

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