

\begin{slide}
\subsection{\bf The Bayes Controversy}
\subsection{\bf Naive Application for Estimation---II}
\begin{itemize}
\item Then experimentalists measure $P(A/B)$ i.e., values of $\theta$
subject to known (by the Almighty and those on fourth floor of
Lauritsen---the theoretical physics group at Caltech) single value of
$\alpha$.  

Bayes says remarkably, that:
\[
P(B/A) = P(A/B) \frac{P(B)}{P(A)}
\]
\item This formula for $P(B/A)$ gives you what you really want---the
``probability distribution of $\alpha$'' consequent from measurements
of $\theta$.  
\end{itemize}
\end{slide}

