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Updated: Jan 9, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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对于位置,尺度和形状的联合通用增材模型

Annika Swenne1,2, Timm Intemann3, Luis A Moreno4,5,6,7

  • 1Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, Bremen, 28359, Germany. swenne@leibniz-bips.de.

BMC medical research methodology
|December 9, 2025
PubMed
概括

我们开发了一种增强隐私的位置,规模和形状 (GAMLSS) 的联合通用添加模型,以分析没有物理聚合的分布式数据. 这种方法的结果与传统的GAMLSS相美,确保敏感健康信息的数据隐私.

关键词:
数据保护数据保护联合分析 联合分析联合学习是联合学习.这是GAMLSS.增长曲线上的增长曲线.百分点曲线的百分点曲线参考曲线上的参考曲线.

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