Fourier-type tests of mutual independence between functional time series
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10444945" target="_blank" >RIV/00216208:11320/22:10444945 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=NST9MENSnO" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=NST9MENSnO</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jmva.2021.104873" target="_blank" >10.1016/j.jmva.2021.104873</a>
Alternative languages
Result language
angličtina
Original language name
Fourier-type tests of mutual independence between functional time series
Original language description
We suggest tests of independence between time series of functional observations. The tests are based on characteristic functions which are appropriately estimated from functional observations. The limit distribution of the new test statistic is obtained under the null hypothesis, while under alternatives it is shown that the same test statistic almost surely diverges as the sample size increases. Since the limit null distribution is complicated, a bootstrap version of the test is suggested to assess the test's performance in finite samples. Also, an application illustrates the use of the method with real data from financial markets. Extension to tests of mutual independence for multiple time series is also considered.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/GA18-08888S" target="_blank" >GA18-08888S: Two-sample change-point</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Multivariate Analysis
ISSN
0047-259X
e-ISSN
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Volume of the periodical
189
Issue of the periodical within the volume
May 2022
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
104873
UT code for WoS article
000759649300027
EID of the result in the Scopus database
2-s2.0-85118976221