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Updated: Jun 3, 2025

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证据积累模型中的参数识别:错误率对扩散决策模型和线性弹道积累器错误率的影响

Malte Lüken1,2, Andrew Heathcote3, Julia M Haaf4

  • 1Netherlands eScience Center, Science Park 402, 1098 XH, Amsterdam, The Netherlands. malte_lueken@arcor.de.

Psychonomic bulletin & review
|January 8, 2025
PubMed
概括

在低错误率的情况下,证据积累模型 (EAM) 中的参数识别能力很差. 扩散决策模型 (DDM) 通常显示出比线性弹道积累器 (LBA) 更好的参数估计,特别是在有更多试验的情况下.

关键词:
贝叶斯统计学 贝叶斯统计学决策 决策是做出决定的.一个实验性的设计.参数恢复可以恢复参数.响应时间响应时间

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