A new causality measure
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Abstract
Summary Let there are n i.i.d observations, each producing a two tuple of real values ( x i , y i ), i ∊ {1,……, n } giving rise to random variables X = ( x 1 ,…, x n ) and Y = ( y 1 ,…, y n ). What is the statistical significance of the hypothesis that an increase in the independent variable X is causing an increase (or decrease) to the dependent variable Y ?
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