Power tessellation as a tool for estimating parameters in a model of random set

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00171312" target="_blank" >RIV/68407700:21230/10:00171312 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Power tessellation as a tool for estimating parameters in a model of random set

Original language description

Consider a random set given by a union of interacting discs described by a probability density with respect to a given Boolean model. The contribution concerns two methods for estimating the parameters of the density - MCMC maximum likelihood and Takacs-Fiksel method using integral characterisation of Gibbs process. Since both these methods are computationally complicated, it is shown how can the application of the power tesselation make the computations faster.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

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

Name of the periodical

Informační bulletin České statistické společnosti

ISSN

1210-8022

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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