https://www.rdatagen.net/post/2026-02-05-getting-to-the-bottom-of-tmle-1/
Getting to the bottom of TMLE: influence functions and perturbations
Keith Goldfeld
February 5, 2026
"Rather than building estimators directly from outcome or treatment models, which are scientifically important but statistically treated as nuisance components, TMLE constructs estimators whose statistical behavior is governed by a known influence function."