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Decorrelation of a class of Gibbs particle processes and asymptotic properties ofU-statistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10417609" target="_blank" >RIV/00216208:11320/20:10417609 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=eCdJfdr5Nd" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=eCdJfdr5Nd</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1017/jpr.2020.51" target="_blank" >10.1017/jpr.2020.51</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decorrelation of a class of Gibbs particle processes and asymptotic properties ofU-statistics

  • Original language description

    We study a stationary Gibbs particle process with deterministically bounded particles on Euclidean space defined in terms of an activity parameter and non-negative interaction potentials of finite range. Using disagreement percolation, we prove exponential decay of the correlation functions, provided a dominating Boolean model is subcritical. We also prove this property for the weighted moments of aU-statistic of the process. Under the assumption of a suitable lower bound on the variance, this implies a central limit theorem for suchU-statistics of the Gibbs particle process. A by-product of our approach is a new uniqueness result for Gibbs particle processes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA19-04412S" target="_blank" >GA19-04412S: New approaches to modeling and statistics of random sets</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Applied Probability

  • ISSN

    0021-9002

  • e-ISSN

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    28

  • Pages from-to

    928-955

  • UT code for WoS article

    000565709200013

  • EID of the result in the Scopus database

    2-s2.0-85091762410