Timeline for Why is Gaussian Copula's Tail Dependence Zero?
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Mar 5, 2019 at 22:05 | comment | added | statsplease | @AlexMe Might be worth raising another question related to this. | |
Mar 5, 2019 at 13:55 | comment | added | AlexMe | Thanks @StatsPlease, I'm just confused with how can one obtain the above mentioned sum as the partial derivative of the double integral (which is the form of the Gaussian copula). | |
Mar 5, 2019 at 13:21 | comment | added | statsplease | @AlexMe because both random variables have lower tails | |
Mar 5, 2019 at 10:22 | comment | added | AlexMe | I was wondering why in the partial derivative of the Gaussian copula there are two terms in the sum: $\lambda=\lim_{\,\,q\to 0^{+}} \text{Pr}(U_{2}\leq q\,|\,U_{1}=q)+ \lim_{\,\,q\to 0^{+}} \text{Pr}(U_{1}\leq q\,|\,U_{2}=q)$ | |
Feb 23, 2017 at 23:16 | vote | accept | NicTam | ||
Nov 30, 2016 at 12:54 | history | edited | statsplease | CC BY-SA 3.0 |
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Nov 17, 2016 at 23:53 | history | edited | statsplease | CC BY-SA 3.0 |
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Nov 13, 2016 at 13:14 | history | edited | statsplease | CC BY-SA 3.0 |
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Nov 13, 2016 at 12:29 | history | edited | statsplease | CC BY-SA 3.0 |
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Nov 13, 2016 at 6:53 | history | edited | statsplease | CC BY-SA 3.0 |
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Nov 13, 2016 at 6:48 | history | answered | statsplease | CC BY-SA 3.0 |