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        <dc:title>A continuous analogue of the Upper Bound Theorem</dc:title>
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        <bibo:abstract>For an absolutely continuous probability measure μ. on ℝd and a nonnegative integer k, let S̃k(μ, 0) denote the probability that the convex hull of k + d + 1 random points which are i.i.d. according to μ contains the origin 0. For d and k given, we determine a tight upper bound on S̃k(μ, 0), and we characterize the measures in ℝd which attain this bound. As we will see, this result can be considered a continuous analogue of the Upper Bound Theorem for the maximal number of faces of convex polytopes with a given number of vertices. For our proof we introduce so-called h-functions, continuous counterparts of h-vectors of simplicial convex polytopes.</bibo:abstract>
        <bibo:volume>26</bibo:volume>
        <bibo:issue>2</bibo:issue>
        <bibo:startPage>205 - 219</bibo:startPage>
        <bibo:endPage>205 - 219</bibo:endPage>
        <dc:publisher>Springer</dc:publisher>
        <bibo:doi rdf:resource="10.1007/s00454-001-0028-9" />
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