The paper investigates a parallel between CUB models and quantile regressionthrough an illustrative case study on rating data. While CUB models have been proposedfor 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 advantageof two modern modeling frameworks
Exploring synergy between CUB models and quantile regression: a comparative analysis through continuousized data / Davino, Cristina; Simone, Rosaria; Vistocco, Domenico. - (2018), pp. 101-110.
Exploring synergy between CUB models and quantile regression: a comparative analysis through continuousized data
Davino Cristina
;Simone Rosaria;Vistocco Domenico
2018
Abstract
The paper investigates a parallel between CUB models and quantile regressionthrough an illustrative case study on rating data. While CUB models have been proposedfor 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 advantageof two modern modeling frameworksI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
