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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-12-12 00:28:23 -0500 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-12-12 00:28:23 -0500 |
| commit | 6f876aa0fa8596eec71eec640ca9556b48034b6f (patch) | |
| tree | 20e8c339802978a7e2f564704e2a75888c3dd05a /finale/sections/appendix.tex | |
| parent | c760d533c1a44f98b2f660f64ea8354a7f896121 (diff) | |
| download | cascades-6f876aa0fa8596eec71eec640ca9556b48034b6f.tar.gz | |
Abandonned by my project partner... finishing up experiment section
Diffstat (limited to 'finale/sections/appendix.tex')
| -rw-r--r-- | finale/sections/appendix.tex | 22 |
1 files changed, 22 insertions, 0 deletions
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*} |
