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Updated: May 27, 2025

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对混合效应的模型选择 位置尺度模型与LOO或WAIC差异的置信区间

Yue Liu1, Fan Fang2, Hongyun Liu3,4

  • 1Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.

Multivariate behavioral research
|February 18, 2025
PubMed
概括

使用置信区间的顺序方法提高了贝叶斯模型选择准确性,用于混合效应的位置尺度模型 (MELSMs),而不是点估计. 这种方法可以提高模型的性能,特别是在更简单的模型或更大的样本大小的情况下.

关键词:
一次性交叉验证 (LOO)在信任间隔的信任间隔.混合效应的位置尺度模型 (MELSMs)广泛适用的信息标准 (WAIC).

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