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Recovering the shape of a point cloud in the plane

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  • Beatriz Pateiro-López
  • Alberto Rodríguez-Casal

Abstract

In this work we deal with the problem of estimating the support S of a probability distribution under shape restrictions. The shape restriction we deal with is an extension of the notion of convexity named α-convexity. Instead of assuming, as in the convex case, the existence of a separating hyperplane for each exterior point of S, we assume the existence of a separating open ball with radius α. Given an α-convex set S, the α-convex hull of independent random points in S is the natural estimator of the set. If α is unknown the r n -convex hull of the sample can be considered being r n a sequence of positive numbers. We analyze the asymptotic properties of the r n -convex hull estimator in the bidimensional case and obtain the convergence rate for the expected distance in measure between the set and the estimator. The geometrical complexity of the estimator and its dependence on r n are also obtained via the analysis of the expected number of vertices of the r n -convex hull. Copyright Sociedad de Estadística e Investigación Operativa 2013

Suggested Citation

  • Beatriz Pateiro-López & Alberto Rodríguez-Casal, 2013. "Recovering the shape of a point cloud in the plane," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 19-45, March.
    • Handle: RePEc:spr:testjl:v:22:y:2013:i:1:p:19-45
    DOI: 10.1007/s11749-012-0283-5
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    References listed on IDEAS

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    1. Stéphane Girard & Pierre Jacob, 2003. "Extreme Values and Haar Series Estimates of Point Process Boundaries," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(2), pages 369-384, June.
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