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Bayesian Gaussian Copula Factor Models for Mixed Data
Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is a rich literature on their extension to mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent trait models acommodating mea...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3753118/ https://ncbi.nlm.nih.gov/pubmed/23990691 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2012.762328 |
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