Among the books in my 'to-read' pile that I don't remember when I added, there was a book called 'The Grand Unified Theory of ...

IntroductionPurpose of this bookThis book depicts the path from Bayesian inference to deep learning as a single long-form technical volume. There is one central theme: how can we handle uncertainty in ...

This paper develops new econometric methods to infer hospital quality in a model with discrete dependent variables and non-random selection. Mortality rates in patient discharge records are widely ...

Can mass shootings be forecast? Mohammad R.K. Mofrad and colleagues constructed an agent-based model of mass shootings within ...

According to GoogleDeepMind, Zoubin Ghahramani explains how uncertainty and probability make real‑world AI decisions safer and more reliable.

Can mass shootings be forecasted? Mohammad R.K. Mofrad and colleagues constructed an agent-based model of mass shootings within a Bayesian inference ...