Background. Roughly, given a set of independent identically distributed data conditioned on an unknown parameter , a sufficient statistic is a function () whose value contains all the information needed to compute any estimate of the parameter (e.g. a maximum likelihood estimate). Due to the factorization theorem (), for a sufficient statistic (), the probability density can be written as
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