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Jay Daigle

jaydaigle.net

Jay Daigle is a professor of mathematics at The George Washington University in Washington, D.C. In addition to his research in number theory, he brings a mathematical style to thinking about philosophy, politics, social dynamics, and everyday life.

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An Overview of Bayesian Inference (2019)

A few weeks ago I wrote about Kuhn’s theory of paradigm shifts and how it relates to Bayesian inference. In this post I want to back up a little bit and explain what Bayesian inference is, and eventually rediscover the idea of a paradigm shift just from understanding how Bayesian inference works.