In the equation h_t(x,y|...) = ....$h_t(x,y|...) = ...$, can anyone explain me why the first derivatives of the marginal distributions are included? H_t$H_t$ is a distribution function and h_t$h_t$ its density function.
![Distribution function][1]
![Copula density][2]
Using the relation between distribution and density function I can't get it to make sense.
In the equation h_t(x,y|...) = ...., can anyone explain me why the first derivatives of the marginal distributions are included? H_t is a distribution function and h_t its density function.
Using the relation between distribution and density function I can't get it to make sense.
In the equation $h_t(x,y|...) = ...$, can anyone explain me why the first derivatives of the marginal distributions are included? $H_t$ is a distribution function and $h_t$ its density function. ![Distribution function][1] ![Copula density][2]
Using the relation between distribution and density function I can't get it to make sense.
In the equation h_t(x,y|...) = ...., can anyone explain me why the first derivatives of the marginal distributions are included? H_t is a distribution function and h_t its density function.
Using the relation between distribution and density function I can't get it to make sense.
In the equation h_t(x,y|...) = ...., can anyone explain me why the first derivatives of the marginal distributions are included? H_t is a distribution function and h_t its density function.
Using the relation between distribution and density function I can't get it to make sense.
In the equation h_t(x,y|...) = ...., can anyone explain me why the first derivatives of the marginal distributions are included? H_t is a distribution function and h_t its density function.
Using the relation between distribution and density function I can't get it to make sense.
