Affiliations: Statistics Discipline, University of Minnesota, Morris, MN, USA
Correspondence:
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Corresponding author: Engin A. Sungur, Statistics Discipline, University of Minnesota, Morris 600 E. 4th Street, Morris, MN 56267, USA. E-mail: sungurea@umn.edu.
Abstract: Understanding and modeling multivariate dependence structures depending upon the direction are challenging but an interest of theoretical and applied researchers. In this article, we introduce a way of looking at directional dependence by using a direction parameter, possibly random in Bayesian setting, expressed as an angle. This construction allows us to model and measure directional dependence in a meaningful way and leads to informative graphical displays. Our focus in this paper will be on the 3-dimensional case.
