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