Removing systematic errors for exoplanet search via latent causes

author: Bernhard Schölkopf, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Dec. 5, 2015,   recorded: October 2015,   views: 28
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Description

We describe a method for removing the effect of confounders in order to reconstruct a latent quantity of interest. The method, referred to as {\em 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.

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