So X and Y are perfectly correlated in the center, and uncorrelated outside it.
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Replying to @St_Rev @Meaningness
is there a good example in nature where this effect occurs?
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which effect tail independence or tail dependence?
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either
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for independence, any joint gaussian is tail independent *even if the variables are correlated!*
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if I understand any of this,
@The_Lagrangian ‘s lesswrong piece explains this well2 replies 0 retweets 1 like -
Replying to @Meaningness @karlrohe and
The LW piece is about range restriction. I don't get how that's related to this idea.
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Replying to @St_Rev
Well, with the proviso that I learned everything I know about pt from the back of a cereal box,
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Replying to @Meaningness @St_Rev
if you restrict to the near-extreme values then you can see why they become anticorrelated.
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Replying to @Meaningness
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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. Banned in Sweden. SubGenius, Zhuangist, white-hat troll. Defrocked mathematician. Brain problems.