Book description
A New York Times Book Review Editor's Choice: A vivid account of the generations-long dispute over Bayes' rule, one of the greatest breakthroughs in the history of applied mathematics and statistics
"An intellectual romp touching on, among other topics, military ingenuity, the origins of modern epidemiology, and the theological foundation…
Why read it?
2 authors picked The Theory That Would Not Die as one of their favorite books. Why do they recommend it?
Can you love a book that you disagree with? I do! I love this extravagant account of how Bayesian Statistics was enmired in controversy and, after 200 years, saved everything from Western Civilization to Captain Dreyfus.
I don’t think that Bayesian statistics is the foundation of all rational thought, but I am happy to celebrate all its wonderful achievements. Every page of this book is lively and personal, engrossing, entertaining, masterful…all of that.
From Bastiaan's list on The best books to explore the meaning of probability and risk.
The full title of this wonderful book is The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy. Bayes’ Theorem is a one-line mathematical formula, named after a Scottish church minister, that calculates the updated probability of an event occurring given new information that we receive. Applications of Bayes’ Theorem are diverse and profound, from recommendation systems to automated translation algorithms to weather prediction.
This well-researched book does a deep dive into the most important characters of mathematical statistics over the past three centuries, and…
From Richard's list on The best books on mathematics and life.
If you love The Theory That Would Not Die...
December on 5C4
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
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