2.11 The exponential family

2.11.1 Definition

It turns out that many of the common statistical distributions have a similar form. This leads to the definition that a density is from the one-parameter exponential family if it can be put into the form

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or equivalently if the likelihood of n independent observations  from this distribution is

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It follows immediately from Neyman’s Factorization Theorem that  is sufficient for θ given X.

2.11.2 Examples

Normal mean. If  with known then

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which is clearly of the above form.

Normal variance. If  with θ known then we can express the density in the appropriate form by writing

Poisson distribution. In the Poisson case, we can write

Binomial distribution. ...

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