TorchBicop.hfunc1

TorchBicop.hfunc1(u, x=None)

Evaluates the first h-function.

\[h_1(u_1, u_2) = \mathbb{P}(U_2 \le u_2 \mid U_1 = u_1).\]

Parameters:

uTensor, shape (n, 2), dtype float

Pseudo-observations in [0, 1]^2.

xTensor or None, optional

Conditioning variables, shape (n, k). Ignored by TorchBicop (an unconditional pair copula); accepted so the class satisfies the BicopLike contract.

Returns:

Tensor, shape (n,), dtype float

Conditional CDF values in [0, 1].