f cases are
integer-valued, the proposed method relies on generalized linear models
(GLM). For count data, the Poisson distribution is a suitable choice as
a model. Hence, the cases denoted as <span class="math inline">\(Y\)</span> are assumed to follow a Poisson
distribution</p>
<p><span class="math display">\[\begin{equation}
Y \sim \mathrm{Pois}(\lambda)
\end{equation}\]</span></p>
<p>Here, the link function, <span class="math inline">\(\log()\)</span>,
connects the linear predictor to the expected value