@karlrohem Well, to posit an extreme example: suppose X is a Gaussian normal, and Y is defined to be = X if X \in [-1, 1]...
The LW piece is about range restriction. I don't get how that's related to this idea.
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Well, with the proviso that I learned everything I know about pt from the back of a cereal box,
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if you restrict to the near-extreme values then you can see why they become anticorrelated.
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Yeah, but that's just range restriction. And the anticorrelation you see is among values that are all still pretty high.
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TBH I doubt a statistical approach is useful in understanding differentiation of complex conceptual machinery.
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I agree!
End of conversation
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maybe you read the restriction wrong for tail dependence? It is about X and Y both being bigger than u, given X>u
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. Banned in Sweden. SubGenius, Zhuangist, white-hat troll. Defrocked mathematician. Brain problems.