Change point detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10053218" target="_blank" >RIV/00216208:11320/10:10053218 - 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
Change point detection
Original language description
This contribution deals with tests on the stability of statistical models. The problem is formulated in terms of testing the null hypothesis against the alternative hypothesis. The null hypothesis claims that the model remains the same during the whole observational period, usually it means that the parameters of the model do not change. The alternative hypothesis claims that, at an unknown time point, the model changes, which means that some of the parameters of the model are subject to a~change. We consider both Bayesian type procedures as well as procedures based on the maximum likelihood principle.
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
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA201%2F09%2F0755" target="_blank" >GA201/09/0755: Modelling nonhomogeneous time series</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Forum Statisticum Slovacum
ISSN
1336-7420
e-ISSN
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Volume of the periodical
6
Issue of the periodical within the volume
2
Country of publishing house
SK - SLOVAKIA
Number of pages
14
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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