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Limit theorems for the convex hull of random points in higher dimensions
Author(s):
Irene
Hueter
Journal:
Trans. Amer. Math. Soc.
351
(1999),
4337-4363.
MSC (1991):
Primary 52A22, 60D05
Posted:
July 21, 1999
MathSciNet review:
1670156
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Abstract:
We give a central limit theorem for the number of vertices of the convex hull of independent and identically distributed random vectors, being sampled from a certain class of spherically symmetric distributions in that includes the normal family. Furthermore, we prove that, among these distributions, the variance of exhibits the same order of magnitude as the expectation as The main tools are Poisson approximation of the point process of vertices of the convex hull and (sub/super)-martingales.
References:
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Additional Information:
Irene
Hueter
Affiliation:
Department of Mathematics, University of Florida, Gainesville, Florida 32611
Email:
hueter@math.ufl.edu
DOI:
10.1090/S0002-9947-99-02499-X
PII:
S 0002-9947(99)02499-X
Keywords:
Convex hull,
Poisson point process,
Markovian jump process,
(sub/super)-martingales,
central limit theorem,
rotationally invariant distributions.
Received by editor(s):
December 2, 1998
Received by editor(s) in revised form:
January 22, 1999
Posted:
July 21, 1999
Copyright of article:
Copyright
1999,
American Mathematical Society
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