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Computing the expected value of a concave, piecewise affine bivariate function for the gamma distribution

机译:计算Gamma分布的凹分段式仿射双变量函数的期望值

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摘要

We present a method for exact computation of the expected value of a non-separable, piecewise linear function of two variables. We assume a stochastic model of two random variables obtained by linear combination of two independent principal components having gamma distributions with integer shape parameters. The method can be implemented so the computational effort is proportional to the number of piecewise affine pieces times the product of the shape parameters of the gamma distributions. It can be used for fast computation of expected values in stochastic dynamic programming.
机译:我们提出了一种精确计算两个变量的不可分的分段线性函数的期望值的方法。我们假设两个随机变量的随机模型是通过两个具有伽马分布的独立主成分与整数形状参数的线性组合获得的。可以实施该方法,使得计算工作量与分段仿射片段的数量乘以伽马分布的形状参数的乘积成正比。它可用于在随机动态编程中快速计算期望值。

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