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Master thesis

A stochastic geometry characterization of Pitman-Yor processes

Roman Gambelin 1
1 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
Abstract : In this master's thesis, we give a new integral characterization of Pitman-Yor processes. It is inspired by a similar characterization for Dirichlet processes given by G. Last in 2019. The proof makes use of classical point processes theory arguments and is based on a key result found by T. Lehéricy in his 2015 master's thesis. In addition, we give (Appendice C) an application of this integral equation to the computation of the moments of the random mass of a Borel set given by a Pitman-Yor process.
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Master thesis
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Contributor : Roman Gambelin <>
Submitted on : Tuesday, November 24, 2020 - 11:38:26 PM
Last modification on : Wednesday, December 9, 2020 - 3:40:31 AM


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  • HAL Id : hal-03022834, version 1



Roman Gambelin. A stochastic geometry characterization of Pitman-Yor processes. Mathematics [math]. 2020. ⟨hal-03022834⟩



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