• DocumentCode
    3376498
  • Title

    Rare-event simulations for exponential integrals of smooth Gaussian processes

  • Author

    Jingchen Liu ; Gongjun Xu

  • Author_Institution
    Dept. of Stat., Columbia Univ., New York, NY, USA
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    In this paper, we consider the rare-event simulation of integrals of exponential functions of smooth Gaussian random processes. In particular, we design importance sampling estimators that are asymptotically efficient. The efficiency analysis consists of the bias control and the variance control relative to the interesting tail probabilities.
  • Keywords
    Gaussian processes; importance sampling; random processes; bias control; exponential functions; importance sampling estimators; interesting tail probabilities; rare-event simulation; smooth Gaussian random processes; variance control; Approximation methods; Computational modeling; Gaussian processes; Monte Carlo methods; Numerical models; Q measurement; Random variables;
  • 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.2012.6465201
  • Filename
    6465201