Trisha Shetty (Editor)

Robbins lemma

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In statistics, the Robbins lemma, named after Herbert Robbins, states that if X is a random variable having a Poisson distribution with parameter λ, and f is any function for which the expected value E(f(X)) exists, then

E ( X f ( X 1 ) ) = λ E ( f ( X ) ) .

Robbins introduced this proposition while developing empirical Bayes methods.

References

Robbins lemma Wikipedia


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