Universal probabilistic programming offers a powerful approach to statistical phylogenetics

In this article, published at Communications Biology, we argue that a type of powerful programming languages, called universal probabilistic programming languages, can be used to solve previously intractable problems in statistical phylogenetics. Examples of such languages are WebPPL and Birch. All of our source code and results can be found in the probabilistic programming repo on GitHub.

Stay tuned for a deep dive in this article.

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