2
$\begingroup$

Below you'll find a section of page 110, from Gelman's 3rd edition Bayesian Data Analysis (BDA).

In the problem at hand, the observations and parameters are independent, $y_j\sim Bin(n_j,\theta_j)$, and $\theta_j\sim Beta(\alpha,\beta)$.

What's the point of trying to reparameterize first? Do they want a uniform distribution on the new parameters, and then see what they obtain for the old parametrization?

enter image description here

Any help would be appreciated.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.