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1 results

  • Extreme events of Markov chains

  • Part of
  • I. Papastathopoulos, K. Strokorb, J. A. Tawn, A. Butler
  • Journal:
    Advances in Applied Probability / Volume 49 / Issue 1 / March 2017
    Published online by Cambridge University Press:
    17 March 2017, pp. 134-161
    Print publication:
    March 2017

  • The extremal behaviour of a Markov chain is typically characterised by its tail chain. For asymptotically dependent Markov chains, existing formulations fail to capture the full evolution of the extreme event when the chain moves out of the extreme tail region, and, for asymptotically independent chains, recent results fail to cover well-known asymptotically independent processes, such as Markov processes with a Gaussian copula between consecutive values. We use more sophisticated limiting mechanisms that cover a broader class of asymptotically independent processes than current methods, including an extension of the canonical Heffernan‒Tawn normalisation scheme, and reveal features which existing methods reduce to a degenerate form associated with nonextreme states.