Moment estimation methods for stationary spatial Cox processes - a comparison

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10126110" target="_blank" >RIV/00216208:11320/12:10126110 - isvavai.cz</a>
Result on the web
<a href="http://www.kybernetika.cz/content/2012/5/1007" target="_blank" >http://www.kybernetika.cz/content/2012/5/1007</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Moment estimation methods for stationary spatial Cox processes - a comparison
Original language description
In the present paper we consider the problem of fitting parametric spatial Cox point process models. We concentrate on the moment estimation methods based on the second order characteristics of the point process in question. These methods represent a simulation-free faster-to-compute alternative to the computationally intense maximum likelihood estimation. We give an overview of the available methods, discuss their properties and applicability. Further we present results of a simulation study in which performance of these estimating methods was compared for planar point processes with different types and strength of clustering and inter-point interactions.
Czech name
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Czech description
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Project
<a href="/en/project/GAP201%2F10%2F0472" target="_blank" >GAP201/10/0472: Stochastic geometry - inhomogeneity, marking, dynamics and stereology</a>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP) S - Specificky vyzkum na vysokych skolach I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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