@inproceedings{JanzingSSPS2011,
  title = {Detecting low-complexity unobserved causes},
  abstract = {We describe a method that infers whether statistical dependences between two observed variables X and Y are due to a \direct" causal link or only due to a connecting causal
  path that contains an unobserved variable of low  complexity, e.g., a binary variable. This problem is motivated by statistical genetics. Given a genetic marker that is correlated with a phenotype of interest, we want to
  detect whether this marker is causal or it only correlates with a causal one. Our method is based on the analysis of the location of the conditional distributions P(Y jx) in the simplex of all distributions of Y . We report encouraging results on semi-empirical data.},
  pages = {383-391},
  editors = {FG Cozman and A Pfeffer},
  publisher = {AUAI Press},
  address = {Corvallis, OR, USA},
  month = jul,
  year = {2011},
  slug = {janzingssps2011},
  author = {Janzing, D. and Sgouritsa, E. and Stegle, O. and Peters, J. and Sch{\"o}lkopf, B.},
  month_numeric = {7}
}