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Announcing the release of my e-book: Introduction to Empirical Bayes

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I’m excited to announce the release of my new e-book: Introduction to Empirical Bayes: Examples from Baseball Statistics, available here.

This book is adapted from a series of ten posts on my blog, starting with Understanding the beta distribution and ending recently with Simulation of empirical Bayesian methods. In these posts I’ve introduced the empirical Bayesian approach to estimation, credible intervals, A/B testing, mixture models, and other methods, all through the example of baseball batting averages.

If you’ve enjoyed some or all of these posts, I’d encourage you to purchase the e-book to see how it all fits together.

What’s in the book

How does the book differ from the posted blog entries?

Other questions you might have

I encourage you to leave feedback in the comments below (or, if you prefer, by email). I hope you’ve enjoyed the baseball series and that you’ll continue to follow my future work!

To leave a comment for the author, please follow the link and comment on their blog: Variance Explained.

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