The Theory That Would Not Die is a newly released biography of Bayesian analysis, carefully balanced to be accessible to a lay audience while captivating to a statistical one. Told without formulas, this eloquently written story is the history of an idea—a far-from-exhaustive, but enlightening, chronicle of the triumphs of Bayesian analysis. With examples from health, neuroscience, defense, actuarial science, and many other fields, The Theory That Would Not Die shows the breadth of Bayes’ successes. Although years of research—including such technical topics as the advancement of MCMC methods—are represented by selected examples, each highlighted example represents a multitude of other, equally important, equally gripping tales of success, both past and future.

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