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Manifestly positive series approximation to probability densities

机译:明显正序列近似于概率密度

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When one expands a probability density in a series and truncates the series, the result is generallynot a manifestly positive density. Such is the case, for example, in the classical Edgeworth andGram-Charlier series. In contrast, in quantum mechanics, approximation methods always retainthe manifestly positive aspect of a probability density. We explore this fundamental difference andattempt to modify standard probability theory using the methods of quantum mechanics so thatexpansions result in a manifestly positive probability density.
机译:当一个人在系列中扩展概率密度并截断序列时,结果通常是不是明显的积极密度。例如,在古典边缘和Gram-Charlier系列。相比之下,在量子力学中,近似方法总是保留概率密度的明显正面。我们探索这种根本差异和尝试使用量子力学的方法来修改标准概率理论扩展导致明显的正概率密度。

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