Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5130009 | Stochastic Processes and their Applications | 2016 | 17 Pages |
Abstract
Based on observations of points uniformly distributed over a convex set in Rd, a new estimator for the volume of the convex set is proposed. The estimator is minimax optimal and also efficient non-asymptotically: it is nearly unbiased with minimal variance among all unbiased oracle-type estimators. Our approach is based on a Poisson point process model and as an ingredient, we prove that the convex hull is a sufficient and complete statistic. No hypotheses on the boundary of the convex set are imposed. In a numerical study, we show that the estimator outperforms earlier estimators for the volume. In addition, an adjusted set estimator for the convex body itself is proposed.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Nikolay Baldin, Markus ReiÃ,