Question: Let x ~ B(n, ) and y ~ B(n, p) have independent binomial distributions of the same index but possibly different parameters. Find the Bayes

Let x ~ B(n, π) and y ~ B(n, p) have independent binomial distributions of the same index but possibly different parameters. Find the Bayes rule corresponding to the loss

L((, p), a) = ( - ) -

when the priors for π and p are independent uniform distributions.

L((, p), a) = ( - ) -

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