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Updated: Jun 19, 2025

An R-Based Landscape Validation of a Competing Risk Model
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对于多模型推理框架的模型选择概率的引导式近似

Andres Dajles1, Joseph Cavanaugh1

  • 1Department of Biostatistics, University of Iowa, 145 N. Riverside Drive, Iowa City, IA 52242, USA.

Entropy (Basel, Switzerland)
|July 26, 2024
PubMed
概括

统计模型的选择可能会有偏见. 这项研究纠正了模型选择概率中的引导偏差,并表明Akaike权重是这些概率的糟糕替代品,尽管对模型可信度有用.

关键词:
阿卡伊克信息标准的信息标准.阿卡耶克的权重是阿卡耶克的权重.贝叶斯模型的平均值是贝叶斯的模型.启动时可以使用bootstrapping.模型选择,模型选择.

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