Exploring dependence between categorical variables: Benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms
This manuscript is concerned with relating two approaches that can be used to explore complex dependence structures between categorical variables, namely Bayesian partitioning of the covariate space incorporating a variable selection procedure that highlights the covariates that drive the clustering...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Elsevier
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896165/ |