As conveyed in the original derivat

正如在原始推导和后续扩展中所传达的那样，SIC的依据是基于建立该标准充当候选模型的贝叶斯后验概率变换的渐近近似。我们的兴趣在于调查这种理由的可能性，以便在准则中保留渐近可忽略的术语。这些术语在大样本环境中具有可争议的价值，但可以提高中小样本规模应用中SIC的有效性。

如原始推导和随后的扩展中所传达的，SIC 的正当性基于确定该标准作为与候选模型的贝叶斯后概率转换的无症状近似值。我们的兴趣在于调查这一理由，以可能保留标准中无症状可忽略不计的术语。此类术语在大型样本设置中具有争议性，但可能会提高 SIC 在小到中等样本大小应用中的有效性。

As conveyed in the original derivation and subsequent extensions, the justification of SIC is based on establishing that the criterion serves as an asymptotic approximation to a transformation of the Bayesian posterior probability of a candidate model. Our interest lies in investigating this justification for the possibility of retaining terms in the criterion which are asymptotically negligible. Such terms would be of debatable value in large- sample settings, but may improve the effectiveness of SIC in small to moderate sample-size applications.<br>