• Medientyp: E-Book; Bericht; Sonstige Veröffentlichung
  • Titel: On non-asymptotic optimal stopping criteria in Monte Carlo simulations
  • Beteiligte: Bayer, Christian [VerfasserIn]; Hoel, Håkon [VerfasserIn]; von Schwerin, Erik [VerfasserIn]; Tempone, Raúl F. [VerfasserIn]
  • Erschienen: Weierstrass Institute for Applied Analysis and Stochastics publication server, 2013
  • Sprache: Englisch
  • DOI: https://doi.org/10.20347/WIAS.PREPRINT.1774
  • Schlagwörter: article ; 65C05 ; 62L15 ; 62L12 ; Monte Carlo methods -- optimal stopping -- sequential stopping rules -- non-asymptotic
  • Entstehung:
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  • Beschreibung: We consider the setting of estimating the mean of a random variable by a sequential stopping rule Monte Carlo (MC) method. The performance of a typical second moment based sequential stopping rule MC method is shown to be unreliable in such settings both by numerical examples and through analysis. By analysis and approximations, we construct a higher moment based stopping rule which is shown in numerical examples to perform more reliably and only slightly less efficiently than the second moment based stopping rule.
  • Zugangsstatus: Freier Zugang