CMStatistics 2022: Start Registration
View Submission - CMStatistics
B0572
Title: Multimodal regression with circular data Authors:  Rosa Crujeiras - University of Santiago de Compostela (Spain) [presenting]
Maria Alonso-Pena - Universidade de Santiago de Compostela (Spain)
Abstract: There is a diverse range of practical situations where one may encounter random variables which are not defined in Euclidean spaces, as is the case for circular data. Circular measurements may be accompanied by other observations, either defined on the unit circumference or the real line and, in such cases, it may be of interest to model the relationship between the variables from a regression perspective. It is not infrequent that parametric models fail to capture the underlying model, given their lack of flexibility. Still, it may also happen that the usual paradigm of (classical) mean regression. Some recent advances in nonparametric multimodal regression, showing an adaptation of the mean-shift algorithm for regression scenarios involving circular response and/or covariate. Real data illustrations will also be presented.