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Any non-negative function which integrates to 1 (unit total area) is
suitable for use as a probability density function (PDF). The most
general Gaussian PDF is given by shifts of the normalized Gaussian:
The parameter
is the mean, and
is the
variance of the distribution (we'll show this later).
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