On Moment Estimation Methods for Spatial Cox Processes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10102952" target="_blank" >RIV/00216208:11320/11:10102952 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On Moment Estimation Methods for Spatial Cox Processes
Original language description
Large data sets in the form of point patterns are frequently encountered in practice and need to be analyzed, e.g. by fitting parametric models. We consider stationary spatial Cox point processes and give overview of moment estimation methods suitable for fitting this class of models to the data - the minimum contrast method and the composite likelihood and the Palm likelihood approaches. These methods represent a simulation-free faster-to-compute alternative to the computationally intense maximum likelihood estimation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP201%2F10%2F0472" target="_blank" >GAP201/10/0472: Stochastic geometry - inhomogeneity, marking, dynamics and stereology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WDS'11 Proceedings of Contributed Papers: Part I - Mathematics and Computer Sciences
ISBN
978-80-7378-184-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
31-36
Publisher name
Matfyzpress
Place of publication
Prague
Event location
Praha
Event date
May 31, 2011
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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