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 ...
On Thursday the 21st of November 2019, M.Sc. Topi Talvitie will defend his doctoral thesis on Counting and Sampling Directed Acyclic Graphs for Learning Bayesian Networks. The thesis is a part of ...
Synthese, Vol. 189, Supplement 1. KNOWLEDGE, RATIONALITY & ACTION. PSYCHOLOGICAL MODELS OF (IR)RATIONALITY AND DECISION MAKING (December 2012), pp. 17-28 (12 pages) Many of our decisions pertain to ...
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 ...
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