ASMOD 2018 - Advances in Statistical Modelling of Ordinal Data
Naples, 24-26 October
The paper investigates a parallel between CUB models and quantile regression through an illustrative case study on rating data. While CUB models have been proposed for modeling ordinal variables, quantile regression is mostly convenient for quantitative re- sponses. 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.