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Additional resources

Difference between frequentist and Bayesian approaches

When learning about Bayesian statistics, it is common to hear a lot about how it is “better” than frequentist (or classic) statistics. However, it is not always clear what frequentist means. It is always good to remember that they provide different tools to analyze random events. Bayesian statistics does not make the frequentist toolbox irrelevant or invalid.

The following resources will give you an overview of the differences between both paradigms.

Short video on the key differences

Frequentism and Bayesianism: What’s the Big Deal? –Jake VanderPlas

This forum post gives a simple example analyzed from both the frequentist and the Bayesian perspective

What’s the difference between a confidence interval and a credible interval?

For those who prefer a book, this one provides a good overview of different ways of thinking about probability

G. Gigerenzer, Z. Swijtink, Th. Porter, L. Daston, J. Beatty, and L. Krüger. The Empire of Chance: How Probability Changed Science and Everyday Life. Cambridge University Press, 1990.

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