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Figure 3: Posterior Medians (Solid Black Lines) of Effective Population Sizes and Associated 95% Credible Intervals (Blue Shaded Areas) for the HCV Dataset Using BEAST (A) and Phylostan (B–D).
doi 10.7717/peerj.8272/fig-3
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Figure 1: Posterior Approximation of Phylogenetic Model Parameters Using Mean-Field Variational Inference (Phylostan), NUTS (Phylostan), and Metropolis-Hastings (BEAST2) Algorithms on the Influenza a Virus Dataset.
Figure 2: Posterior Approximation of Phylogenetic Model Parameters Using Full-Rank Variational Inference (Phylostan), NUTS (Phylostan), and Metropolis-Hastings (BEAST2) Algorithms on the Influenza a Virus Dataset.
Appendix XIX: Values of K * for Calculating 95% Confidence Intervals for the Difference Between Population Medians for Two Related Samples
Figure 2: Model-Averaged Estimates (Solid Lines) of Apparent Survival (A) and Movement Probability (B) vs. Body Length With 95% Confidence Intervals (Dashed Lines) From Multi-State Capture-Recapture Analysis.
Figure 3: Clustering Accuracy of (A) the CROSS Dataset, (B) the Lankershim Dataset.
Figure S6: The Shaded Intervals Represent the 80%, 95%, and 99% Confidence Intervals of the Effect of Mean Current Velocity (Northward/Summer) (M/S) on the Probability ofLeptoserisoccurrence
Resampling-Based Simultaneous Confidence Intervals for Location Shift Using Medians
AStA Advances in Statistical Analysis
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Figure A1: Simulated Biomass From the Un-Fished Model (Black Line) With 95% Confidence Intervals Based on 20% CVs (Coefficient of Variation) Shaded Orange by Species Group.
Figure 4: Divergence Times for Sophoreae/Themopsideae Genera Estimated by Using BEAST Based on the ITS Dataset.
