Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery

31 Jan 2018Natasa TagasovskaValérie Chavez-DemoulinThibault Vatter

Causal inference using observational data is challenging, especially in the bivariate case. Through the minimum description length principle, we link the postulate of independence between the generating mechanisms of the cause and of the effect given the cause to quantile regression... (read more)

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