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