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Updated: Jul 23, 2025

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在惩罚回归中选择正规化参数的一种新类型的通用信息标准,适用于处理过程数据

Amir Hossein Ghatari1, Mina Aminghafari1

  • 1Department of Statistics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran.

Journal of biopharmaceutical statistics
|July 17, 2023
PubMed
概括

一个新的通用信息标准 (GIC) 改善了处罚回归中的规范化参数选择. 这种新的GIC展示了卓越的性能,并为拉索回归模型引入了特征排序.

关键词:
非对称的效率损失效率.一般化的信息标准标准.受到惩罚的回归回归.规范化参数的规范化参数公用事业的功能是公用事业功能.

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