BriefGPT.xyz
May, 2020
模型选择和假设检验的边缘似然计算：一篇广泛的综述
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
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Fernando Llorente, Luca Martino, David Delgado, Javier Lopez-Santiago
TL;DR
此论文介绍了关于边际似然计算的最新进展, 以及与模型选择和假设检验相关的内容，包括概率模型的规范化常数计算，不合适先验的问题及可能的解决方案，理论比较和数字实验等。
Abstract
This is an up-to-date introduction to, and overview of,
marginal likelihood
computation for
model selection
and
hypothesis testing
. Comput
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