From 6f876aa0fa8596eec71eec640ca9556b48034b6f Mon Sep 17 00:00:00 2001
From: Thibaut Horel <thibaut.horel@gmail.com>
Date: Sat, 12 Dec 2015 00:28:23 -0500
Subject: Abandonned by my project partner... finishing up experiment section

---
 finale/sections/appendix.tex | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)

(limited to 'finale/sections/appendix.tex')

diff --git a/finale/sections/appendix.tex b/finale/sections/appendix.tex
index e69de29..b53de70 100644
--- a/finale/sections/appendix.tex
+++ b/finale/sections/appendix.tex
@@ -0,0 +1,22 @@
+\begin{figure*}
+\centering
+\subfigure[][50 cascades]{
+\includegraphics[scale=.4]{../simulation/plots/2015-11-05_22:52:30.pdf}}\hspace{1em}%
+\subfigure[][100 cascades]{
+\includegraphics[scale=.4]{../simulation/plots/2015-11-05_22:52:47.pdf}}\\
+\subfigure[][150 cascades]{
+\includegraphics[scale=.4]{../simulation/plots/2015-11-05_22:53:24.pdf}}\hspace{1em}%
+\subfigure[][200 cascades]{
+\includegraphics[scale=.4]{../simulation/plots/2015-11-05_22:55:39.pdf}}\\
+\subfigure[][250 cascades]{
+\includegraphics[scale=.4]{../simulation/plots/2015-11-05_22:57:26.pdf}}\hspace{1em}%
+\subfigure[][1000 cascades]{
+\includegraphics[scale=.4]{../simulation/plots/2015-11-05_22:58:29.pdf}}
+\caption{Bayesian Inference of $\Theta$ with MCMC using a $Beta(1, 1)$ prior on
+each edge.  For each figure, the plot $(i, j)$ on the $i^{th}$ row and $j^{th}$
+column represent a histogram of samples taken from the  posterior of the
+corresponding edge $\Theta_{i, j}$. The red line indicates the true value of the
+edge weight.  If an edge does not exist (has weight $0$) the red line is
+confounded with the y axis.}
+\label{betapriorbayeslearning}
+\end{figure*}
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