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Asymptotics for Statistical Distances Based on Voronoi Tessellations
Authors:R Jiménez  J E Yukich
Institution:(1) CESMa, Universidad Simón Bolívar, A.P. 89000, Caracas, Venezuela;(2) Department of Mathematics, Lehigh University, Bethlehem, Pennsylvania, 18015
Abstract:We obtain an information-type inequality and a strong law for a wide class of statistical distances between empirical estimates and random measures based on Voronoi tessellations. This extends some basic results in the asymptotic theory of sample spacings, when the cells of the Voronoi tessellation are interpreted as d-dimensional spacings.
Keywords:Voronoi tessellations  statistical distances  multi-dimensional spacings  entropy  phgr-divergence" target="_blank">gif" alt="phgr" align="MIDDLE" BORDER="0">-divergence
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