Are There Algorithms That Discover Causal Structure?

By David Freedman, Paul Humphreys. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Necati Cihan Camgöz
2. Richard Bowden
3. Matthew James Vowels
4. David Freedman
5. Peng Ding
6. P. M. Aronow
7. Jasjeet S. Sekhon
8. Guido W. Imbens

Citations in the corpus

• D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery (2021, background): “, [41, 57, 105]) which argue for appropriate skepticism and care when making the leap from observation to causality via causal discovery methods.”
• Identification and Inference for Econometric Models: On Specifying Graphical Models for Causation and the Identification Problem (2005, unknown): “For critical reviews of graphical models (with responses and further citations) see Freedman (1997), Humphreys and Freedman (1996, 1999) : among other things, these papers discuss various applications proposed by the modelers.”
• Statistical Models for Causation (2006, background): “What about those applications? Analyses were replicated for the most solidlooking cases (Freedman, 1997; Freedman and Humphreys, 1999).”