2024
DOI: 10.20944/preprints202401.2197.v1
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Bayesian Feature Extraction for Two-Part Latent Variable Model with Polytomous Manifestations

Qi Zhang,
Yi-Hui Zhang,
And Yemao Xia

Abstract: Semi-continuous data are very common in the social science and economics. In this paper, a Bayesian variable selection procedure is developed to assess the influence of exogenous factors including observed and unobserved on the semi-continuous data. Our formulation is based on the two-part latent variable model with polytomous response. We consider two schemes for the penalties of regression coefficients and factor loadings: the Bayesian spike and slab bimodal prior and the Bayesian lasso prior. Within the Bay… Show more

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