# Measure of Strength of Evidence for Visually Observed Differences between Subpopulations

@inproceedings{Yang2021MeasureOS, title={Measure of Strength of Evidence for Visually Observed Differences between Subpopulations}, author={Xi Yang and Jan Hannig and Katherine A. Hoadley and Iain Carmichael and J. S. Marron}, year={2021} }

An increasingly important data analytic challenge is understanding the relationships between subpopulations. Various visualization methods (PCA, tSNE, UMAP) that provide many useful insights into those relationships are popular, especially in high dimensional contexts such as bioinformatics. While visualization is often in-sightful, it can also be deceptive. This motivates the need for careful assessment of the strength of the evidence for diﬀerences between subpopulations. Because…

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