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arXiv · 1711.04349

Graph-Based Two-Sample Tests for Data with Repeated Observations

Jingru Zhang·Hao Chen
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Abstract

In the regime of two-sample comparison, tests based on a graph constructed on observations by utilizing similarity information among them is gaining attention due to their flexibility and good performances for high-dimensional/non-Euclidean data. However, when there are repeated observations, these graph-based tests could be problematic as they are versatile to the choice of the similarity graph. We propose extended graph-based test statistics to resolve this problem. The analytic p-value approximations to these extended graph-based tests are derived to facilitate the application of these tests to large datasets. The new tests are illustrated in the analysis of a phone-call network dataset. All tests are implemented in an R package gTests.

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Jingru Zhang, Hao Chen. 2017-11-12. Graph-Based Two-Sample Tests for Data with Repeated Observations. https://arxiv.org/abs/1711.04349

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