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B0250
Title: The WeiSSVM: A tractable, parsimonious and highly flexible model for cylindrical data Authors:  Christophe Ley - University of Luxembourg (Luxembourg) [presenting]
Toshihiro Abe - Hosei University (Japan)
Abstract: The aim is to describe cylindrical distributions obtained by combining the sine-skewed von Mises distribution (circular part) with the Weibull distribution (linear part). This new model, the WeiSSVM, enjoys numerous advantages: simple normalizing constant and hence very tractable density, parameter-parsimony and interpretability, good circular-linear dependence structure, easy random number generation thanks to known marginal/conditional distributions, flexibility illustrated via excellent fitting abilities, and a straightforward extension to the case of directional-linear data. Inferential issues, such as independence testing, can easily be tackled with the WeiSSVM, which we will apply on two distinct real data sets.