Dimension Reduction in Extended Quermass-Interaction Process
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10287743" target="_blank" >RIV/00216208:11320/14:10287743 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/14:00222637
Result on the web
<a href="http://dx.doi.org/10.1007/s11009-013-9343-x" target="_blank" >http://dx.doi.org/10.1007/s11009-013-9343-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11009-013-9343-x" target="_blank" >10.1007/s11009-013-9343-x</a>
Alternative languages
Result language
angličtina
Original language name
Dimension Reduction in Extended Quermass-Interaction Process
Original language description
Many objects studied in biology, medicine or material sciences create spatial formations of random shape in which we can observe mutual interactions among those objects. In order to analyse the data composed of such patterns, we use the methods of spatial statistics. Recently, extended random-disc Quermass-interaction process was studied, simulated and consequently statistically analysed using MCMC maximum likelihood method (MCMC MLE). However, this analysis brought some problems. First, it was quite time-consuming, secondly, in some special cases, the parameter estimates may undervalue the real parameter values. In this paper, we describe how we can solve these problems by dimension reduction.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Methodology and Computing in Applied Probability
ISSN
1387-5841
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
355-368
UT code for WoS article
000335508800007
EID of the result in the Scopus database
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