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Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods

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Figure

Figure 1: A simple graph for illustration.
Figure 2: Toy example: profiles of estimated edge parameters as the penalty parameter is varied.
Figure 3: Number of edges in the graph vs. penalty parameter for different problem sizes, averagedover 20 simulations.
Figure 4: Computation time of the exact algorithms versus the number of non-zero elements in Θ.Values are averages over 20 simulation runs, along with ±2 standard error curves
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