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Links to Other Settings

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Conditional Monte Carlo

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 392))

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Abstract

In the previous chapter, we strove to make our framework as general as possible by including the two principal types of parameters of interest — timing and structural — and by conditioning on varying degrees of sample path information. In this chapter, we link our framework to the results of various other PA settings — rare perturbation analysis (RPA), discontinuous perturbation analysis (DPA), and augmented infinitesimal perturbation analysis (APA) — and to estimators derived via the likelihood ratio (LR) method and the weak derivative (WD) approach.

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© 1997 Springer Science+Business Media New York

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Fu, M., Hu, JQ. (1997). Links to Other Settings. In: Conditional Monte Carlo. The Springer International Series in Engineering and Computer Science, vol 392. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6293-1_4

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  • DOI: https://doi.org/10.1007/978-1-4615-6293-1_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7889-1

  • Online ISBN: 978-1-4615-6293-1

  • eBook Packages: Springer Book Archive

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