  In this paper we derive variability measures for the conditional probability
distributions of a pair of random variables, and we study its application in
the inference of causal-effect relationships. We also study the combination of
the proposed measures with standard statistical measures in the the framework
of the ChaLearn cause-effect pair challenge. The developed model obtains an AUC
score of 0.82 on the final test database and ranked second in the challenge.
