Chris Drovandi (@chris-drovandi.bsky.social)

Thrilled to contribute to this work led by David Frazier providing theory for NPE/NLE in simulation-based inference. These methods are known to match the accuracy of ABC and BSL with fewer simulations, this paper rigorously shows why this can be achieved. arxiv.org/abs/2411.12068

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The Statistical Accuracy of Neural Posterior and Likelihood Estimation Neural posterior estimation (NPE) and neural likelihood estimation (NLE) are machine learning approaches that provide accurate posterior, and likelihood, approximations in complex modeling scenarios, ... https://arxiv.org/abs/2411.12068