Modeling confounding by half-sibling regression.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 27382154.
- Also identified by DOI 10.1073/pnas.1511656113 and PMC identifier 4941423.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We describe a method for removing the effect of confounders 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, discussing both independent and identically distributed as well as time series data, respectively, and illustrate the potential of the method in a challenging astronomy application.