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Consistent model selection criteria and goodness-of-fit test for common time series models

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Virtualconference
Authors : Bardet, Jean-Marc (Author of the conference)
CIRM (Publisher )

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Abstract : We study the model selection problem in a large class of causal time series models, which includes both the ARMA or AR($\infty$) processes, as well as the GARCH or ARCH($\infty$), APARCH, ARMA-GARCH and many others processes. To tackle this issue, we consider a penalized contrast based on the quasi-likelihood of the model. We provide sufficient conditions for the penalty term to ensure the consistency of the proposed procedure as well as the consistency and the asymptotic normality of the quasi-maximum likelihood estimator of the chosen model. We also propose a tool for diagnosing the goodness-of-fit of the chosen model based on a Portmanteau test. Monte-Carlo experiments and numerical applications on illustrative examples are performed to highlight the obtained asymptotic results. Moreover, using a data-driven choice of the penalty, they show the practical efficiency of this new model selection procedure and Portemanteau test.

Keywords : Model selection; time series; consistency; BIC; Portmanteau test

MSC Codes :
60K35 - Interacting random processes; statistical mechanics type models; percolation theory

Additional resources :
https://www.cirm-math.fr/RepOrga/2146/Slides/Bardet.pdf

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 15/06/2020
    Conference Date : 02/06/2020
    Subseries : Research talks
    arXiv category : Statistics Theory
    Mathematical Area(s) : Probability & Statistics
    Format : MP4 (.mp4) - HD
    Video Time : 01:08:34
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2020-06-02_Bardet.mp4

Information on the Event

Event Title : Mathematical Methods of Modern Statistics 2 / Méthodes mathématiques en statistiques modernes 2
Event Organizers : Bogdan, Malgorzata ; Graczyk, Piotr ; Panloup, Fabien ; Proïa, Frédéric ; Roquain, Etienne
Dates : 15/06/2020 - 19/06/2020
Event Year : 2020
Event URL : https://www.cirm-math.com/cirm-virtual-...

Citation Data

DOI : 10.24350/CIRM.V.19640303
Cite this video as: Bardet, Jean-Marc (2020). Consistent model selection criteria and goodness-of-fit test for common time series models. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19640303
URI : http://dx.doi.org/10.24350/CIRM.V.19640303

See Also

Bibliography

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  • BARDET, Jean-Marc, WINTENBERGER, Olivier, et al. Asymptotic normality of the quasi-maximum likelihood estimator for multidimensional causal processes. The Annals of Statistics, 2009, vol. 37, no 5B, p. 2730-2759. - http://dx.doi.org/10.1214/08-AOS674

  • DOUKHAN, Paul et WINTENBERGER, Olivier. Weakly dependent chains with infinite memory. Stochastic Processes and their Applications, 2008, vol. 118, no 11, p. 1997-2013. - https://doi.org/10.1016/j.spa.2007.12.004

  • FRANCQ, Christian et ZAKOIAN, Jean-Michel. GARCH models: structure, statistical inference and financial applications. John Wiley & Sons, 2010. - http://dx.doi.org/10.1002/9780470670057

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  • LI, Wai Keung et MAK, T. K. On the squared residual autocorrelations in non‐linear time series with conditional heteroskedasticity. Journal of Time Series Analysis, 1994, vol. 15, no 6, p. 627-636. - https://doi.org/10.1111/j.1467-9892.1994.tb00217.x

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