A variational neural Bayes framework for inference on intractable posterior distributions
E Maceda, EC Hector, A Lenzi, BJ Reich - arXiv preprint arXiv:2404.10899, 2024 - arxiv.org
Classic Bayesian methods with complex models are frequently infeasible due to an intractable likelihood. Simulation-based inference methods, such as Approximate …
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Classic Bayesian methods with complex models are frequently infeasible due to an intractable likelihood. Simulation-based inference methods, such as Approximate …