Finally, after Fermat’s last theorem, someone (Sharon McGrayne) has written a book on Bayes’ theorem. It’s been reviewed by Andrew Robinson in Nature. From the review:

Considering the widespread effectiveness of Bayesian inference in physics and astronomy, genetics, imaging and robotics, Internet communication, finance and commerce, it is surprising that it has remained controversial for so long… McGrayne explains [users’] reticence [to admit to using Bayes] in her impressively researched history of Bayes’ theorem,

The Theory That Would Not Die. The statistical method runs counter to the conviction that science requires objectivity and precision, she writes. Bayes’ theorem “is a measure of belief. And it says that we can learn even from missing and inadequate data, from approximations, and from ignorance.”

The reviews on Amazon are mixed, and venom seems present in some of them…

Thanks to Román for the good find!

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