The paper investigates a parallel between CUB models and quantile regression through an illustrative case study on rating data. While CUB models have been proposedfor modeling ordinal variables, quantile regression is mostly convenient for quantitative responses. The goal is to advance a comprehensive approach in which discrete ordinal out-comes on one hand and their continuousized version on the other coexist so to take advantage of two modern modeling frameworks.
Exploring synergy between CUB models and quantile regression: a comparative analysis through continuousized data
Domenico Vistocco
2018-01-01
Abstract
The paper investigates a parallel between CUB models and quantile regression through an illustrative case study on rating data. While CUB models have been proposedfor modeling ordinal variables, quantile regression is mostly convenient for quantitative responses. The goal is to advance a comprehensive approach in which discrete ordinal out-comes on one hand and their continuousized version on the other coexist so to take advantage of two modern modeling frameworks.File in questo prodotto:
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