Getting to the bottom of TMLE: forcing the target to behave

In the last couple of posts ( starting here ), I’ve tried to unpack some of the ideas that sit underneath TMLE: viewing parameters as functionals of a distribution, thinking about sampling as a perturbation, and understanding how influence functions describe the leading behavior of estimation error. In the second post , I showed through simulation how errors in nuisance estimation can interact…