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Apr 27, 2020 at 23:10 comment added dohmatob It was a problem with terminology. Removed the "pairwise" adjective.
Apr 27, 2020 at 23:09 history edited dohmatob CC BY-SA 4.0
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Apr 27, 2020 at 21:14 comment added Jeppe Stig Nielsen Recall that for $k\ge 3$, pairwise independence is weaker than full ("mutual") independence. What is your motivation for using "pairwise" in your definition?
Apr 27, 2020 at 19:57 history edited dohmatob CC BY-SA 4.0
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Apr 27, 2020 at 19:57 comment added dohmatob Yes, indeed covarance matrices don't capture nonlinear dependence patterns. Removed my comment above cov matrix.
Apr 27, 2020 at 19:40 history edited dohmatob CC BY-SA 4.0
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Apr 27, 2020 at 19:16 comment added user44143 I don't think you can say much from the covariance matrix. Consider a) $X$ and $Y$ independent uniform variables on $[-1,1]$, or b) $X$ as before, $Y = 2|X|$. They have the same covariance matrix but a) has rank 2 and b) has rank 1.
Apr 27, 2020 at 18:57 history edited dohmatob CC BY-SA 4.0
added 2 characters in body; edited title
Apr 27, 2020 at 18:51 history asked dohmatob CC BY-SA 4.0