Bayesian Simulator Parameter Inspector

A software tool that assists researchers and engineers in Bayesian inference for simulators by visualizing and analyzing posterior distributions over simulator parameters. It leverages neural networks to learn the posterior, providing insights into simulator behavior and uncertainty, addressing the need for efficient and interpretable Bayesian inference where likelihood functions are unavailable.

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