Understanding the Differences Between Bayesian and Frequentist ...
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Understanding the Differences Between Bayesian and Frequentist ...
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
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“How much more likely is this treatment to generate the desired outcome than the alternative treatment?”
Eric Siegel • Predictive Analytics
In a nutshell, the way I have understood it, given a specific set of data, the frequentist believes that there is a true, underlying distribution from which said data was generated. The inability to get the exact parameters is a function of finite sample size. The Bayesian, on the other hand, think that we start with some assumption about the param... See more
When are Bayesian methods preferable to Frequentist?
But what are the messages? This took me quite a few months to figure out. I finally realized that the messages were conditional probabilities in one direction and likelihood ratios in the other.
Dana Mackenzie • The Book of Why: The New Science of Cause and Effect
Any Bayesian analysis begins with an initial belief, aka a prior. In our case, the prior was the initial guess we had about the location of the target ball. Then we encounter objective information, which in our case was whether the new ball landed to the left or the right of the target ball. When you combine the two it gives you the improved belief
... See moreAl Pittampalli • Persuadable: How Great Leaders Change Their Minds to Change the World
How often are you able to propose a program that will let you predict the benefit with statistical confidence?