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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&apos;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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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