Approaches to asymptotics for U-statistics of Gibbs facet processes

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10364557" target="_blank" >RIV/00216208:11320/17:10364557 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.spl.2016.10.024" target="_blank" >http://dx.doi.org/10.1016/j.spl.2016.10.024</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.spl.2016.10.024" target="_blank" >10.1016/j.spl.2016.10.024</a>

Result language
angličtina
Original language name
Approaches to asymptotics for U-statistics of Gibbs facet processes
Original language description
It is shown how the central limit theorem for U-statistics of spatial Poisson point processes can help to derive the central limit theorem for U-statistics of a Gibbs facet process from stochastic geometry. A full-dimensional submodel enables a simpler approach to its investigation. Finally the general situation is studied and the asymptotics with increasing intensity'is described.
Czech name
—
Czech description
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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

Project
<a href="/en/project/GA16-03708S" target="_blank" >GA16-03708S: Spatial geometrical statistics of random sets in Euclidean spaces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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