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Simplex Factor Models for Multivariate Unordered Categorical Data
Gaussian latent factor models are routinely used for modeling of dependence in continuous, binary, and ordered categorical data. For unordered categorical variables, Gaussian latent factor models lead to challenging computation and complex modeling structures. As an alternative, we propose a novel c...
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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2012
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3728016/ https://ncbi.nlm.nih.gov/pubmed/23908561 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2011.646934 |
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