Causality, Confounding, and Why Good Signals Can Be Misleading foundational
A predictive relationship can be real in the data and still fail as an explanation of what would happen under intervention.
A predictive relationship can be real in the data and still fail as an explanation of what would happen under intervention.
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References
Causality for Machine Learning
Bernhard Schölkopf
(2022)
Schur Complementary Portfolios: A Unification of Machine Learning and Optimization-Based Diversification
Peter Cotton
(2024)
Event-study methodology under conditions of event-induced variance
Ekkehart Boehmer, Jim Masumeci, Annette B. Poulsen
(1991)
Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, Glenn Shafer
(2005)