Let x ~ B(n, ) and y ~ B(n, p) have independent binomial distributions of the same

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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.

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Bayesian Statistics An Introduction

ISBN: 9781118332573

4th Edition

Authors: Peter M. Lee

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Question Posted: Nov 28, 2023 04:53 AM

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Let x ~ B(n, ) and y ~ B(n, p) have independent binomial distributions of the same

Question:

L((π, p), a) = (π – р - а)² -

Step by Step Answer:

In Bayesian decision theory the Bayes rule minimizes the posterior expected loss Given the loss func...View the full answer

Bayesian Statistics An Introduction

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