The LASSO on latent indices for regression modeling with ordinal categorical predictors
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Hui, Francis; Muller, Samuel; Welsh, Alan
Description
Many applications of regression models involve ordinal categorical predictors. Two common approaches for handling ordinal predictors are to form a set of dummy variables, or employ a two stage approach where dimension reduction is first applied and then the response is regressed against the predicted latent indices. Both approaches have drawbacks, with the former running into a high-dimensional problem especially if interactions are considered, while the latter separates the prediction of the...[Show more]
Collections | ANU Research Publications |
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Date published: | 2020 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/219263 |
Source: | Computational Statistics and Data Analysis |
DOI: | 10.1016/j.csda.2020.106951 |
Access Rights: | Open Access |
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