Blog Archives

Bayesian modeling using Stan: A case study

May 30, 2019
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Bayesian modeling using Stan: A case study

Practice makes better. And faster. But what exactly is the relation between practice and reaction time? In this blog post, we will focus on two contenders: the power law and exponential function. We will implement these models in Stan and extend them to account for learning plateaus and the fact that, with increased practice, not only the mean reaction...

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Two perspectives on regularization

April 15, 2019
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Two perspectives on regularization

Regularization is the process of adding information to an estimation problem so as to avoid extreme estimates. Put differently, it safeguards against foolishness. Both Bayesian and frequentist methods can incorporate prior information which leads to regularized estimates, but they do so in different ways. In this blog post, I illustrate these two different perspectives on regularization on the simplest...

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