Making Statistics Work
Information Theory and Bayesian Inference
$48.68
- Paperback
328 pages
- Release Date
3 August 2026
Summary
Conventional “frequentist” methods that dominate the field of statistics are generally inconsistent and liable to catastrophic failure in some contexts. These weaknesses have become particularly concerning in relation to crises of replicability and credibility in science. Two alternatives have been proposed to address these flaws—classical Bayesian inference and the principle of maximum entropy—but the connections between them remain controversial.
Making Statistics Work pres…
Book Details
| ISBN-13: | 9780231222044 |
|---|---|
| ISBN-10: | 0231222041 |
| Author: | Duncan Foley, Ellis Scharfenaker |
| Publisher: | Columbia University Press |
| Imprint: | Columbia University Press |
| Format: | Paperback |
| Number of Pages: | 328 |
| Release Date: | 3 August 2026 |
| Weight: | 0g |
| Dimensions: | 235mm x 156mm |
About The Author
Duncan Foley
Duncan K. Foley is the Leo Model Professor Emeritus of Economics at the New School for Social Research and external professor at the Santa Fe Institute. He is the author of Understanding Capital: Marx’s Economic Theory (1986) and Adam’s Fallacy: A Guide to Economic Theology (2006) and coauthor of Growth and Distribution (second edition, 2019), among other books.
Ellis Scharfenaker is an associate professor of economics at the University of Utah. His research integrates Bayesian inference, information theory, and political economy to study industrial dynamics and income distribution.
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