Graph-Based Two-Sample Tests for Data with Repeated Observations
Methodology
2019-02-13 v2
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.
Cite
@article{arxiv.1711.04349,
title = {Graph-Based Two-Sample Tests for Data with Repeated Observations},
author = {Jingru Zhang and Hao Chen},
journal= {arXiv preprint arXiv:1711.04349},
year = {2019}
}