• DocumentCode
    597477
  • Title

    On error rates in rare event simulation with heavy tails

  • Author

    Asmussen, S. ; Kortschak, D.

  • Author_Institution
    Dept. of Math., Aarhus Univ., Aarhus, Denmark
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    For estimating P(Sn > x) by simulation where Sk = Y1+...+Yk with Y1, ..., Yn are non-negative and heavy-tailed with distribution F, (Asmussen and Kroese 2006) suggested the estimator nF(Mn-1 V(x - Sn-1)) where Mk = max(Y1, ..., Yk). The estimator has shown to perform excellently in practice and has also nice theoretical properties. In particular, (Hartinger and Kortschak 2009) showed that the relative error goes to 0 as × → ∞. We identify here the exact rate of decay and propose some related estimators with even faster rates.
  • Keywords
    error statistics; estimation theory; exponential distribution; simulation; decay rate; error rate; estimator; heavy tailed distribution; rare event simulation; relative error; subexponential distribution; Educational institutions; Error analysis; Heuristic algorithms; Mathematical model; Monte Carlo methods; Taylor series; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465288
  • Filename
    6465288