The Annals of Statistics, Vol. 49, No. 5 (October 2021), pp. 2885-2915 (31 pages) Structural causal models (SCMs), also known as (nonparametric) structural equation models (SEMs), are widely used for ...

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 ...

Graphical models form a cornerstone of modern data analysis by providing a visually intuitive framework to represent and reason about the complex interdependencies among variables. In particular, ...

The Annals of Applied Statistics, Vol. 12, No. 4 (December 2018), pp. 2517-2539 (23 pages) Government agencies offer economic incentives to citizens for conservation actions, such as rebates for ...

Artificial intelligence owes a lot of its smarts to Judea Pearl. In the 1980s he led efforts that allowed machines to reason probabilistically. Now he’s one of the field’s sharpest critics. In his ...

Norman Fenton is a Director of Agena Ltd, a company that specialises in risk management for critical systems using Bayesian networks. He also currently receives funding from the EPSRC under project EP ...