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I was curious about how i would go about showing that samples of a variable separated in time may have a causal relationship. This actually may be more stochastic processes than pure statistics becuase I'm assuming random variables [itex] X, Y [/itex] have distributions [itex] f(x; k), g(y;k) [/itex] where k is a discrete index representing time samples. How would I prove that X->Y in the traditional sense of logic that "Given X, then Y", where the truth of this statement ranges from -1 to 1.

Also just my thinking but "Given Y, then X" would not just be the negative of "Given X, then Y"

I don't have anything in my stat book about this, but maybe it's just too basic? Not Sure. Thanks for the help.

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# Estabilishing a Statistically Based Causal Relationship

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