On Testing Changes in Autoregressive Parameters of a VAR Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10159328" target="_blank" >RIV/00216208:11320/13:10159328 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/03610926.2012.730166" target="_blank" >http://dx.doi.org/10.1080/03610926.2012.730166</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/03610926.2012.730166" target="_blank" >10.1080/03610926.2012.730166</a>
Alternative languages
Result language
angličtina
Original language name
On Testing Changes in Autoregressive Parameters of a VAR Model
Original language description
The article deals with the problem of testing a change in autoregressive matrices of the p-th order vector autoregressive process, VAR(p). The proposed test statistics are based on the likelihood ratio concept and are studied under the null hypothesis ofno change in parameters. Their asymptotic behavior is derived under minimal moment assumptions in both cases where the time point of possible change is known a priori and is undefined. The Gumbel-type approximation of the test statistic is also developed, which previous papers on VAR(p) models do not cover.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Communications in Statistics - Theory and Methods
ISSN
0361-0926
e-ISSN
—
Volume of the periodical
42
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
1208-1226
UT code for WoS article
000321690400006
EID of the result in the Scopus database
—