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Derivatives of probability functions and some applications

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Abstract

Probability functions depending upon parameters are represented as integrals over sets given by inequalities. New derivative formulas for the intergrals over a volume are considered. Derivatives are presented as sums of integrals over a volume and over a surface. Two examples are discussed: probability functions with linear constraints (random right-hand sides), and a dynamical shut-down problem with sensors.

Original languageEnglish
Pages (from-to)287-311
Number of pages25
JournalAnnals of Operations Research
Volume56
Issue number1
DOIs
StatePublished - Dec 1995

Keywords

  • discrete event dynamic systems
  • gradient of integral
  • optimization
  • probabilistic risk analysis
  • Probability functions
  • sensitivity analysis
  • shut-down problem

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