We discuss a flexible regression model for multivariate mixed responses. Dependence between outcomes is introduced via the joint distribution of discrete outcome- and individual-specific random effects that represent potential unobserved heterogeneity in each outcome profile. A different number of locations can be used for each margin, and the association structure is described by a tensor that can be further simplified by using the Parafac model. A case study illustrates the proposal.

中文翻译：

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多元混合数据的随机效应模型：一种基于 Parafac 的有限混合方法

我们讨论了多元混合响应的灵活回归模型。结果之间的依赖性是通过离散结果和个体特定随机效应的联合分布引入的，这些随机效应代表每个结果概况中潜在的未观察到的异质性。每个边距可以使用不同数量的位置，关联结构由张量描述，可以通过使用 Parafac 模型进一步简化。一个案例研究说明了这个提议。