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MM-WAE: Multimodal Wasserstein Autoencoders for Semi-Supervised Wafer Map Defect Recognition. [PDF]
Micromachines (Basel)Zhang Y, Sun Q, Liu Z, Zhang DW.
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The latent structure of ICD-11 Prolonged Grief: Replicated factor mixture models in two national cohorts. [PDF]
PLOS Ment HealthCunningham J, Shevlin M, McElroy E.
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Comparing Bayesian random coefficient prediction and latent interaction models for multilevel moderated mediation. [PDF]
Front PsycholLee S, Kim S.
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Graphical displays for latent class clusters and latent class factor models
, 2000 Vermunt, J.K., Magidson, J.
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Biometrics, 2000
Summary.In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the intention of hierarchical modeling. Problems arise when it is not clear how many disease classes are appropriate, creating a need for model selection and diagnostic techniques ...
Garrett, Elizabeth S., Zeger, Scott L.
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Summary.In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the intention of hierarchical modeling. Problems arise when it is not clear how many disease classes are appropriate, creating a need for model selection and diagnostic techniques ...
Garrett, Elizabeth S., Zeger, Scott L.
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Advances in Data Analysis and Classification, 2013
The paper proposes a latent class version of Combination of Uniform and (shifted) Binomial random variables ( CUB ) models for ordinal data to account for unobserved heterogeneity. The extension, called LC-CUB , is useful when the heterogeneity is originated by clusters of respondents not identified by covariates: this may generate a multimodal ...
GRILLI, LEONARDO +3 more
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The paper proposes a latent class version of Combination of Uniform and (shifted) Binomial random variables ( CUB ) models for ordinal data to account for unobserved heterogeneity. The extension, called LC-CUB , is useful when the heterogeneity is originated by clusters of respondents not identified by covariates: this may generate a multimodal ...
GRILLI, LEONARDO +3 more
openaire +2 more sources