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Jun, 2023
NAUTILUS: 用深度学习增强贝叶斯重要性嵌套采样
NAUTILUS: boosting Bayesian importance nested sampling with deep learning
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Johannes U. Lange
TL;DR
本文介绍了通过神经网络回归将INS与深度学习相结合的NAUTILUS方法,用于贝叶斯后验和证据估计,该方法的采样效率高于其他取样器。
Abstract
We introduce a novel approach to boost the efficiency of the
importance nested sampling
(INS) technique for
bayesian posterior
and
evidence estim
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