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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.
  • 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. (en)
Title
  • Power tessellation as a tool for estimating parameters in a model of random set
  • Power tessellation as a tool for estimating parameters in a model of random set (en)
skos:prefLabel
  • Power tessellation as a tool for estimating parameters in a model of random set
  • Power tessellation as a tool for estimating parameters in a model of random set (en)
skos:notation
  • RIV/68407700:21230/10:00171312!RIV11-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • Z(MSM6840770038)
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  • 3
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  • 280635
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  • RIV/68407700:21230/10:00171312
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  • Integral characterization of Gibbs process; MCMC maximum likelihood; power tesselation (en)
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http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [8034D479FC24]
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  • Informační bulletin České statistické společnosti
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  • 22
http://linked.open...iv/tvurceVysledku
  • Staňková, Kateřina
http://linked.open...n/vavai/riv/zamer
issn
  • 1210-8022
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
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