Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel T. Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters · arXiv (Cornell University) · 2015
We describe a method for removing the effect of confounders in order to reconstruct a latent quantity of interest. The method, referred to as half-sibling regression, is inspired by recent work in causal inference using additive noise models. We provide a theoretical justification and illustrate the potential of the method in a challenging astronomy application.