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Fourier approach to goodness-of-fit tests for Gaussian random processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10472389" target="_blank" >RIV/00216208:11320/24:10472389 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=wH7uYUC.kx" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=wH7uYUC.kx</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00362-023-01510-4" target="_blank" >10.1007/s00362-023-01510-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fourier approach to goodness-of-fit tests for Gaussian random processes

  • Original language description

    A new goodness-of-fit (GoF) test is proposed and investigated for the Gaussianity of the observed functional data. The test statistic is the Cramer-von Mises distance between the observed empirical characteristic functional (CF) and the theoretical CF corresponding to the null hypothesis stating that the functional observations (process paths) were generated from a specific parametric family of Gaussian processes, possibly with unknown parameters. The asymptotic null distribution of the proposed test statistic is derived also in the presence of these nuisance parameters, the consistency of the classical parametric bootstrap is established, and some particular choices of the necessary tuning parameters are discussed. The empirical level and power are investigated in a simulation study involving GoF tests of an Ornstein-Uhlenbeck process, Vasi &amp; ccaron;ek model, or a (fractional) Brownian motion, both with and without nuisance parameters, with suitable Gaussian and non-Gaussian alternatives.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Statistical Papers

  • ISSN

    0932-5026

  • e-ISSN

    1613-9798

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    36

  • Pages from-to

    2937-2972

  • UT code for WoS article

    001111969600001

  • EID of the result in the Scopus database

    2-s2.0-85178450396