SNLE outputs can be used to estimate marginal likelihoods via importance sampling and a telescoping product of per-round likelihood ratios.
Likelihood-free mcmc with amortized approximate likelihood ratios
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Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
SNLE outputs can be used to estimate marginal likelihoods via importance sampling and a telescoping product of per-round likelihood ratios.