Simon Mak | Integrating Science into Stats Models
Watch it on.... YouTube Podbean
It's a common dictum that statisticians need to incorporate domain knowledge into their modeling and the interpretation of their results. But how deeply can scientific principles be embedded into statistical models? Prof. Simon Mak (Duke University) is pushing this idea to the limit by integrating fundamental physics, physiology, and biology into both the models and model inference. This conversation includes Simon's joint work with Profs. David Dunson and Ruda Zhang (also of Duke University).
Scientific reasoning AND stats. What more could we ask for?
Enjoy!
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Glen Wright Colopy
DPhil Oxon
The Data & Science Podcast / LifeBell AI
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