Algorithms for Molecular Biology

Table 1 The Pearson correlation and mean absolute error between GP and VBPI estimates to the MCMC posterior means. VBPI outliers were defined as branch length estimates outside the 95% quantile

From: A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm

Dataset	Correlation			Mean absolute error
Dataset	GP	VBPI	VBPI outliers omitted	GP	VBPI	VBPI outliers omitted
DS1	0.991	0.102	0.909	0.0009	0.0032	0.0012
DS3	0.999	0.999	0.999	0.0015	0.0007	0.0007
DS4	0.999	0.166	0.970	0.0012	0.0085	0.0019
DS5	0.990	0.930	0.920	0.0044	0.0050	0.0047
DS6	0.995	− 0.017	0.858	0.0011	0.0240	0.0013
DS7	0.999	0.999	0.999	0.0010	0.0003	0.0003
DS8	0.995	0.975	0.950	0.0015	0.0013	0.0012

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ISSN: 1748-7188

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