The past decade has witnessed significant advances in causal inference and Bayesian network learning, two intertwined disciplines that allow researchers to discern underlying cause‐and‐effect ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

As a cohort, these students will be accessing the full breadth of linked, research-ready administrative datasets available to researchers across the UK, in a supportive and collaborative environment.

Google's marketing mix model platform, Meridian, is now open-source, aiming to help businesses measure marketing performance across multiple channels. It uses Bayesian causal inference to reveal true ...