TorchBicop.hfunc2
- TorchBicop.hfunc2(u, x=None)
Evaluates the second h-function.
\[h_2(u_1, u_2) = \mathbb{P}(U_1 \le u_1 \mid U_2 = u_2).\]- Parameters:
- uTensor, shape (n, 2), dtype float
Pseudo-observations in
[0, 1]^2.- xTensor or None, optional
Conditioning variables, shape
(n, k). Ignored byTorchBicop(an unconditional pair copula); accepted so the class satisfies theBicopLikecontract.
- Returns:
- Tensor, shape (n,), dtype float
Conditional CDF values in
[0, 1].