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Update on Overleaf.

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Nathan TeBlunthuis
2023-03-07 23:11:58 +00:00
committed by node
parent 9d3fac4855
commit 75e06821cf
1 changed files with 2 additions and 2 deletions
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@@ -1067,7 +1067,7 @@ For simplicity, our main simulations include balanced classified variables. How
\label{appendix:imbalanced.iv}
Replicating \emph{Simulation 1a}, Figure \ref{fig:iv.imbalanced} illustrates that our MLA method performs similarly well with imbalance in classified independent variables.
However, the quality of uncertainty quantification of methods tends to degrade as imbalance increases, as seen by comparing the neighboring black and gray lines when the probability of X is 0.95 in Figure \ref{fig:iv.imbalanced.bx}. This suggests that imbalanced data requires additional validation data for effective misclassification correction. Please note that the PL approach has very large confidence intervals and is thus excluded in Figure \ref{fig:iv.imbalanced} for readability.
However, the quality of uncertainty quantification of methods tends to degrade as imbalance increases, as seen by comparing the neighboring black and gray lines when the probability of X is 0.95 in Figure \ref{fig:iv.imbalanced.bx}. This suggests that imbalanced data requires additional validation data for effective misclassification correction. Please note that the PL approach has a very large range of estimates and is thus excluded in Figure \ref{fig:iv.imbalanced} for readability.
\begin{figure}[htpb!]
\begin{subfigure}{0.95\textwidth}
@@ -1091,7 +1091,7 @@ grid.draw(p)
\subsubsection{Imbalance in Classified Dependent Variables}
\label{appendix:imbalanced.dv}
Replicating \emph{Simulation 2a}, Figure \ref{fig:dv.imbalanced} further illustrates that our MLA method performs similarly well with imbalance in classified dependent variables. The PL approach is, again, removed due to the large confidence intervals of its estimations.
Replicating \emph{Simulation 2a}, Figure \ref{fig:dv.imbalanced} further illustrates that our MLA method performs similarly well with imbalance in classified dependent variables. The PL approach is, again, removed due to the large range of its estimates.
\begin{figure}[htpb!]
\begin{subfigure}{0.95\textwidth}
<<dv.imbalance.x, echo=FALSE, message=FALSE, warning=FALSE, result='asis', dev='pdf', fig.width=6, fig.asp=0.5,cache=F>>=