Nonparametric inference for Poisson‐Laguerre tessellations

Thomas van der Jagt, Geurt Jongbloed and Martina Vittorietti

Scandinavian Journal of Statistics, 2025, vol. 52, issue 4, 1816-1851

Abstract: In this paper, we consider statistical inference for Poisson‐Laguerre tessellations in ℝd$$ {\mathbb{R}}^d $$. The object of interest is a distribution function F$$ F $$ which describes the distribution of the arrival times of the generator points. The function F$$ F $$ uniquely determines the intensity measure of the underlying Poisson process. Two nonparametric estimators for F$$ F $$ are introduced, which depend only on the points of the Poisson process that generate non‐empty cells and the actual cells corresponding to these points. The proposed estimators are proven to be strongly consistent as the observation window expands unboundedly to the whole space. We also consider a stereological setting, where one is interested in estimating the distribution function associated with the Poisson process of a higher‐dimensional Poisson‐Laguerre tessellation, given that a corresponding sectional Poisson‐Laguerre tessellation is observed.

Date: 2025
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