一篇关于嵌套采样算法的新的理论指南已在arXiv上发表，全面解释了其推导和实际应用。该论文旨在作为新手的教程和经验丰富者的批判性回顾。嵌套采样在探索高似然区域方面尤其高效，在宇宙学和天文学等领域具有重要价值。 AI
排序理由 该集群包含一篇在arXiv上发表的学术论文，详细介绍了统计算法的理论指南。[lever_c_demoted from research: ic=2 ai=0.4]
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arXiv:2606.17916v1 Announce Type: cross Abstract: The nested sampling (NS) technique has gained widespread attention, particularly in cosmology and astronomy, due to its ability to efficiently explore high-likelihood regions - a feature akin to an implicit likelihood optimization…
The nested sampling (NS) technique has gained widespread attention, particularly in cosmology and astronomy, due to its ability to efficiently explore high-likelihood regions - a feature akin to an implicit likelihood optimization that underlies its success. While the full theore…