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On Change Detection in Stationary Vector Autoregressive Processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10103365" target="_blank" >RIV/00216208:11320/11:10103365 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Change Detection in Stationary Vector Autoregressive Processes

  • Original language description

    Changepoint detection is an important topic in statistical modeling. Models suggested in the past do not have to be valid any longer because of sudden economical or political shocks, natural disasters etc. When the change in the underlying model is not discovered it may lead to the wrong forecasts, and the global accuracy of such models decays. It is therefore helpful to decide whether the change occurs in the model in the sense it is statistically significant or not. We propose some of the tests statistics which are helpful to detect a change in parameters of the p-th order vector autoregressive process, VAR(p). The test statistics are based on the concept of maximum likelihood and limiting properties are derived using invariance principle.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GC201%2F09%2FJ006" target="_blank" >GC201/09/J006: Structural Breaks in Time Series</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th European Young Statisticians Meeting

  • ISBN

    978-972-8893-27-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    79-83

  • Publisher name

    Faculdade de Ci?ncias e Tecnologia Universidade Nova de Lisboa

  • Place of publication

    Lisbon, Portugal

  • Event location

    Caparica, Portugal

  • Event date

    Sep 5, 2011

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article