sbi.inference.mixed_likelihood_estimator_based_potential#
- mixed_likelihood_estimator_based_potential(likelihood_estimator, prior, x_o)[source]#
Returns \(\log(p(x_o|\theta)p(\theta))\) for mixed likelihood-based methods.
It also returns a transformation that can be used to transform the potential into unconstrained space.
- Parameters:
likelihood_estimator (MixedDensityEstimator) – The neural network modelling the likelihood.
prior (Distribution) – The prior distribution.
x_o (Tensor | None) – The observed data at which to evaluate the likelihood.
- Returns:
The potential function \(p(x_o|\theta)p(\theta)\) and a transformation that maps to unconstrained space.
- Return type: