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Updated: Jul 15, 2025

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一个使用Pólya-gamma数据增强策略的顺序探索性诊断模型

Auburn Jimenez1, James Joseph Balamuta2, Steven Andrew Culpepper3

  • 1Department of Psychology, University of Illinois Urbana-Champaign, Champaign, Illinois, USA.

The British journal of mathematical and statistical psychology
|October 3, 2023
PubMed
概括

这项研究引入了一种新的顺序探索性诊断模型,用于顺序数据,扩展Pólya-gamma数据增强,以便更好地进行认知分类. 该方法使用马尔科夫链蒙特卡洛 (MCMC) 方法高效估计属性配置文件.

关键词:
贝叶斯估计贝叶斯估计波利亚-玛数据增强顺序响应模型的顺序响应模型.

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