Summary
Tukey (1975) proposed the halfspace depth concept as a geometrical tool to handle measures. However, only recently (Koshevoy, 1999b; Struyf and Rousseeuw, 1999), it was shown that, for the class of atomic measures, this depth determines the measure. Here we extend this characterization result for the class of absolutely continuous measures for which the function exp(<p, x>) is integrable with any \( p \in {{\Bbb R}^d}\). Three issues play a key role in proving this characterization. The first, the Tukey median has a depth \( \geqslant 1/(K + 1)\) for any k-variate distribution. The second, let two measures μ and v have the same Tukey depth. Then the restrictions of these measures to any trimmed region are measures with identical Tukey depths. The third, a relation between Tukey depth of a measure with compact support and some projections of lift-zonoid. This relation allows to use the support theorem for the Radon transform.
We also show that, for the class of measures with full-dimensional convex hull of the support, the Oja depth determines the measure. The proof of this results are based on some relation between the Oja depth and projections of the lift zonoid. This relation allows us to use another result of integral geometry: the uniqueness theorem of Alexandrov (1937).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
A.D. Alexandrov. On the theory of mixed volumes of convex bodies. II. New inequalities between mixed volumes and their applications (in Russian). Mat. Sb. N.S., 2:1205–1238, 1937.
Z. Bai and X. He. Asymptotic distributions of the maximal depth estimators for regression and multivariate location. Ann. Statist., 27:1616–1637, 1999.
C. Bélisle, J.-C. Massé, and T. Randford. When is a probability measure determined by infinitely many projections? Ann. Statist., 25:767–786, 1997.
D.L. Donoho and M. Gasko. Breakdown properties of location estimates based on halfspace depth and projected outlyingness. Ann. Statist., 20:1803–1827, 1992.
S. Helgason. The Radon transform. Birkhauser, Basel, 1990.
G.A. Koshevoy. Representation of probability measures. Submitted, 1999a.
G.A. Koshevoy. The Tukey depth characterizes the atomic measure. J. of Multivariate Analysis and Applications,1999b. To appear.
G.A. Koshevoy and K. Mosler. Zonoid trimming for multivariate distributions. Ann. Statist., 25:1998–2017, 1997.
G.A. Koshevoy and K. Mosler. Lift zonoids, random convex hulls and the variability of random vectors. Bernoulli, 4:377–399, 1998.
J. Lindenstrauss. A short proof of Liapounoff’s convexity theorem. J. Math. Mech., 15: 971–972, 1966.
R.Y. Liu, J.M. Parelius, and K. Singh. Multivariate analysis of data depth: Descriptive statistics, graphics and inference. Ann. Statist., 27:783–840, 1999.
H. Oja. Descriptive statistics for multivariate distributions. Statistics and Probab. Letters, 1: 327–332, 1983.
C.M. Petty. Projection bodies. In Proc. Coll. Convexity,Copenhagen 1965, pages 234–241. Københavns Univ. Math. Inst., 1967.
E.T. Quinto. Tomographic reconstruction from incomplete data-numerical inversion of the exterior Radon transform. Inverse Problems, 4:867–876, 1988.
K. Reidemeister. Über die singularen Randpunkte eines konvexen Korpers. Math. Annalen, 83:116–118, 1921.
A. Struyf and P.J. Rousseeuw. Halfspace depth characterizes the empirical distribution. J. Multivariate Statist.,69:135–153, 1999.
J.W. Tukey. Mathematics and the picturing of data. In Proceedings of ICM’74 (Vancouver), 2,pages 523–531. Canad. Math. Congress, Montreal, 1975.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Koshevoy, G.A. (2003). Lift-zonoid and Multivariate Depths. In: Dutter, R., Filzmoser, P., Gather, U., Rousseeuw, P.J. (eds) Developments in Robust Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57338-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-57338-5_16
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-642-63241-9
Online ISBN: 978-3-642-57338-5
eBook Packages: Springer Book Archive