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Figure 2 | BMC Bioinformatics

Figure 2

From: Make the most of your samples: Bayes factor estimators for high-dimensional models of sequence evolution

Figure 2

Model comparison using path sampling (PS) and stepping-stone sampling (SS) for the Laurasiatheria data set. Laurasiatheria data set: visual comparison of annealing and melting estimates (shown side by side) for the log Bayes factor for different sigmoid shape values. For α=10.0 and α=12.0, these estimates are available for K=2.000(Q=200 and Q=400),4.000,8.000 and16.000, while for α=8.0, α=9.0, α=11.0 and α=13.0 this last value has not been examined. Each subfigure shows annealing and melting estimates for a particular sigmoid shape value, and this for the three estimators discussed: path sampling, the extension of path sampling that uses the mean of a series of samples for each power posterior, and stepping-stone sampling.

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