Conditional distribution variability measures for causality detection
published: Oct. 6, 2014, recorded: December 2013, views: 1769
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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 third Chalearn causality challenge. The developed model obtains an AUC score of 0.81 (team Jarfo) on the final test database and ranked second in the cause-effect pairs challenge.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !