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For many distributions, the kernel can be written in closed form, but not the normalization constant.

An example is the normal distribution. Its probability density function is

:

and the associated kernel is

:

Note that the factor in front of the exponential has been omitted, even though it contains the parameter , because it is not a function of the domain variable .

Pattern analysis

The

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