释义 |
characteristic function (probability) Given a random variable X, then its characteristic function is φX(t) = E(eitX), where E denotes the expectation. If the probability density function is fX:R → R, then note that , where denotes the Fourier transform. Characteristic functions have the merit of converging, which is not always the case for moment generating functions (see cauchy distribution).
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