“The Theory That Would Not Die: How Bayes’ Rule Cheap Ray Ban Sunglasses Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy”
Bayes‘ rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.
In the first-ever account of Bayes’ rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 NFL Jerseys Cheap years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany’s Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes’ rule is wholesale jerseys used everywhere from DNA de-coding to Homeland Security.
Sharon Bertsch McGrayne is the author of numerous books, including Nobel Prize Women in Science: Their Lives, Struggles, and Momentous Discoveries and Prometheans in the Lab: Chemistry and the Making of the Modern World. She is a prize-winning former reporter for Scripps-Howard, Gannett, Crain’s, and other newspapers and has spoken at many scientific conferences, national laboratories, and Wholesale nfl Jerseys universities in the hockey jerseys United States and abroad. She lives in Seattle with her husband, George F. Bertsch, professor of physics at the University of Washington.download movie Split 2017 now
Also see John Allen Paulos’ review of the book in The New York Times.
To get a great intro on the Bayes Theorem read Elizier Yudkowsky’s An Intuitive Explanation of Bayes’ Theorem.
Finally, there’s a visual introduction to Bayes’ Theorem by Oscar Bonilla.