Writing

The Seven Tools of Causal Inference with Reflections on Machine Learning

JUDEA PEARL, UCLA Computer Science Department, USA ACM Reference Format: Judea Pearl. 2018. The Seven Tools of Causal Inference with Reflections on Machine Learning. 1, 1 (November 2018), 6 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn The dramatic...

Causal inference in statistics: An overview

Abstract: This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special...

JUDEA PEARL – COGNITIVE SYSTEMS LABORATORY

Research was partially supported by grants from AFOSR, NIH, NSF and ONR (MURI). (R-493):  [pdf] [bib]C. Cinelli, A. Forney, and J. Pearl “A Crash Course in Good and Bad Controls,” UCLA Cognitive Systems Laboratory, Technical Report (R-493),...

Which Patients are in Greater Need: A counterfactual analysis with reflections on COVID-19

Scott Mueller and Judea Pearl We are pleased to introduce the writing of Professor Judea Pearl, UCLA, World Leader in AIWS Award and a Mentor of AIWS.net: I feel an obligation to share with you a couple of ideas on how AI can offer new insights and new...