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Updated: May 30, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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对于MUPP模型的个人参数估计方法进行比较

David M LaHuis1, Caitlin E Blackmore2, Gage M Ammons1

  • 1Wright State University, Dayton, OH, USA.

Applied psychological measurement
|January 31, 2025
PubMed
概括

这项研究比较了个人评分方法,用于多维单维对称偏好模型. 无转折抽样 (NUTS) 和预期后期 (EAP) 方法显示出更高的性能,特别是更少的尺寸.

关键词:
在EAP EAP中使用.美国FC FC FC,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,这是一个MAP MAP.美国MCMCMCMCMCMCMCMC一个MUPP模型模型.参数估计和准确性的准确性参数恢复可以恢复参数.人的参数 人的参数.个性化的个性.模拟研究是一种模拟研究.

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