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The Extremal Index for a Random Tessellation

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Book cover Geometric Science of Information (GSI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9389))

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Abstract

Let \(m\) be a random tessellation in \(\mathbf {R}^d\), \(d\ge 1\), observed in the window \(\mathbf {W}_{\!\rho }=\rho ^{1/d}[0,1]^d\), \(\rho >0\), and let f be a geometrical characteristic. We investigate the asymptotic behaviour of the maximum of f(C) over all cells \(C\in m\) with nucleus in \(\mathbf {W}_{\!\rho }\) as \(\rho \) goes to infinity. When the normalized maximum converges, we show that its asymptotic distribution depends on the so-called extremal index. Two examples of extremal indices are provided for Poisson-Voronoi and Poisson-Delaunay tessellations.

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Correspondence to Nicolas Chenavier .

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Chenavier, N. (2015). The Extremal Index for a Random Tessellation. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2015. Lecture Notes in Computer Science(), vol 9389. Springer, Cham. https://doi.org/10.1007/978-3-319-25040-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-25040-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25039-7

  • Online ISBN: 978-3-319-25040-3

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