diff --git a/body.tex b/body.tex
index 0792818..53c11a7 100644
--- a/body.tex
+++ b/body.tex
@@ -335,7 +335,9 @@ procedure to select prior variances.
 \end{table}
 
 This section will use the \textbf{notation} defined in table
-\ref{tab:notation} on page \pageref{tab:notation}.
+\ref{tab:notation} on page \pageref{tab:notation}. The subsections
+"Dropout Variational Inference" and "Dropout Sampling for Object Detection"
+follow the theoretical explanation by Miller et al.~\cite{Miller2018}.
 To understand dropout sampling, it is necessary to explain the
 idea of Bayesian neural networks. They place a prior distribution
 over the network weights, for example a Gaussian prior distribution: