Algorithms for bivariate zonoid depth

  • Authors:
  • Harish Gopala;Pat Morin

  • Affiliations:
  • School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, Canada K1S 5B6;School of Computer Science, Carleton University, 1125 Colonel By Drive, Ottawa, Canada K1S 5B6

  • Venue:
  • Computational Geometry: Theory and Applications
  • Year:
  • 2008

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Abstract

Zonoid depth is a definition of data depth proposed by Dyckerhoff et al. [R. Dyckerhoff, G. Koshevoy, K. Mosler, Zonoid data depth: Theory and computation, in: A. Prat (Ed.), COMPSTAT 1996-Proceedings in Computational Statistics, Physica-Verlag, Heidelberg, August 1996, pp. 235-240]. Efficient algorithms for solving several computational problems related to zonoid depth in 2-dimensional (bivariate) data sets are studied. These include algorithms for computing a zonoid depth map, computing a zonoid depth contour, and computing the zonoid depth of a point.