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 ...

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

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

"Drinking plenty of milk makes bones stronger"—this belief has been a staple of nutritional education for the past 70 years. However, looking at meta-analyses of observational studies, the ...

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

Floods remain among the deadliest and most economically destructive natural hazards on Earth, and the window in which authorities can act before catastrophic inundation is often measured in hours ...