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Graham McVicker edited Estimating overdispersion parameters.tex
over 9 years ago
Commit id: c71c8d7b77bcf9ea18b5c0c63bbf9837edf87b0a
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To find the maximum likelihood estimate of $\Phi_i$ we need to sum the likelihood across all regions. This presents a problem, as $\eta_j$ must also be estimated for each region. We therefore interatively estimate $\eta_j$ using the equation
%\[
%\textrm{L}\left(\eta_j \[
\textrm{L}\left(\eta_j \left| D \right. \right) = \prod_i \left[ \Pr_{\mathrm{BNB}} \left( X = x_{ij}
%\left| \left| \lambda = T^*_{ij}, \Phi_i, \eta_j \right. \right) \right]
%\] \]
and then
$\Phi_i $\Phi_i$ using the equation
%\[
%\textrm{L}\left(\Phi_i \[
\textrm{L}\left(\Phi_i \left| D \right. \right) = \prod_j \left[ \Pr_{\mathrm{BNB}} \left( X = x_{ij}
%\left| \left| \lambda = T^*_{ij}, \Phi_i, \eta_j \right. \right) \right]
%\] \]
\subsubsection{Beta-Binomial}