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The distribution of the maximum of the multivariate AR(p) and multivariate MA(p) processes

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  • Withers, Christopher S.
  • Nadarajah, Saralees

Abstract

We give the cumulative distribution function (cdf) of Mn, the (element-wise) maximum of a sequence of n observations from a multivariate AR(p) process. We do the same for a multivariate MA(p) process. Solutions are first given in terms of repeated integrals and then for the case, where the marginal cdf of the observations is absolutely continuous. The cdf of the multivariate maximum Mn is then given as a weighted sum of the nth powers of the eigenvalues of a non-symmetric Fredholm kernel. The weights are given in terms of the left and right eigenfunctions of the kernel.

Suggested Citation

  • Withers, Christopher S. & Nadarajah, Saralees, 2014. "The distribution of the maximum of the multivariate AR(p) and multivariate MA(p) processes," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 48-56.
  • Handle: RePEc:eee:stapro:v:95:y:2014:i:c:p:48-56
    DOI: 10.1016/j.spl.2014.08.009
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    References listed on IDEAS

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    1. Christopher Withers & Saralees Nadarajah, 2011. "The distribution of the maximum of a first order autoregressive process: the continuous case," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 74(2), pages 247-266, September.
    2. A. Martins & H. Ferreira, 2005. "The multivariate extremal index and the dependence structure of a multivariate extreme value distribution," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(2), pages 433-448, December.
    3. Marta Ferreira & Helena Ferreira, 2013. "Extremes of multivariate ARMAX processes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(4), pages 606-627, November.
    4. Klüppelberg, Claudia & Pergamenchtchikov, Serguei, 2007. "Extremal behaviour of models with multivariate random recurrence representation," Stochastic Processes and their Applications, Elsevier, vol. 117(4), pages 432-456, April.
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