Key papers | Neural posterior estimation (NPE) | Sequential neural posterior estimation | Neural likelihood estimation (NLE) | Neural likelihood-ratio estimation (NRE) | Density estimators | Mixture density network (MDN) | Masked autoregressive flow (MAF) | Neural spline flow (NSF) | Diagnostics | Simulation-based calibration (SBC) | Expected coverage | TARP | Classifier two-sample test (C2ST) | References

Inputs to neural posterior estimation: A simulator and a prior distribution | Define your simulator | Train your neural posterior estimator | Condition on your data to get a posterior | Amortized Posterior Inference