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(Sub-)Differentiability of Probability Functions with Elliptical Distributions
16 references·1 citing·42 second hop
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References

  • 1995Stochastic Programming1,545 cited
  • 2008A Sample Approximation Approach for Optimization with Probabilistic Constraints615 cited
  • 2003Probabilistic Programming184 cited
  • 2010On mixing sets arising in chance-constrained programming125 cited
  • 1995Derivatives of probability functions and some applications103 cited
  • 2014Gradient Formulae for Nonlinear Probabilistic Constraints with Gaussian and Gaussian-Like Distributions92 cited
  • 2007Extensions of Stochastic Optimization Results to Problems with System Failure Probability Functions55 cited
  • 1994Derivatives of probability functions and integrals over sets given by inequalities55 cited
  • 2004Implementable Algorithm for Stochastic Optimization Using Sample Average Approximations51 cited
  • 2012A Gradient Formula for Linear Chance Constraints Under Gaussian Distribution51 cited
  • 1995Differentiation of probability functions: The transformation method46 cited
  • 1998Differentiability of probability function38 cited
  • 2011On joint probabilistic constraints with Gaussian coefficient matrix33 cited
  • 2005Probability Gradient Estimation by Set-Valued Calculus and Applications in Network Design31 cited
  • 2008Asymptotic formulas for the derivatives of probability functions and their Monte Carlo estimations

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27 cited
  • 20094. Optimization Models with Probabilistic Constraints26 cited
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    • 2022Optimization under Rare Chance Constraints24 cited