Characteristic Function (probability Theory) - Related Concepts

Related Concepts

Related concepts include the moment-generating function and the probability-generating function. The characteristic function exists for all probability distributions. However this is not the case for moment generating function.

The characteristic function is closely related to the Fourier transform: the characteristic function of a probability density function p(x) is the complex conjugate of the continuous Fourier transform of p(x) (according to the usual convention; see continuous Fourier transform – other conventions).

where P(t) denotes the continuous Fourier transform of the probability density function p(x). Likewise, p(x) may be recovered from φX(t) through the inverse Fourier transform:

Indeed, even when the random variable does not have a density, the characteristic function may be seen as the Fourier transform of the measure corresponding to the random variable.

Read more about this topic:  Characteristic Function (probability Theory)

Famous quotes containing the words related and/or concepts:

    The custard is setting; meanwhile
    I not only have my own history to worry about
    But am forced to fret over insufficient details related to large
    Unfinished concepts that can never bring themselves to the point
    Of being, with or without my help, if any were forthcoming.
    John Ashbery (b. 1927)

    It is impossible to dissociate language from science or science from language, because every natural science always involves three things: the sequence of phenomena on which the science is based; the abstract concepts which call these phenomena to mind; and the words in which the concepts are expressed. To call forth a concept, a word is needed; to portray a phenomenon, a concept is needed. All three mirror one and the same reality.
    Antoine Lavoisier (1743–1794)