3 papers
stat.ME2025
Scale two-sample testing with arbitrarily missing data
Yijin Zeng, Niall M. Adams, Dean A. Bodenham
This work proposes a novel rank-based scale two-sample testing method for univariate, distinct data when a subset of the data may be missing. Our approach is based on mathematicall…
stat.ME2025
Exact Bounds of Spearman's footrule in the Presence of Missing Data with Applications to Independence Testing
Yijin Zeng, Niall M. Adams, Dean A. Bodenham
This work studies exact bounds of Spearman's footrule between two partially observed -dimensional distinct real-valued vectors and . The lower bound is obtained by sequen…
stat.ME2024
MMD Two-sample Testing in the Presence of Arbitrarily Missing Data
Yijin Zeng, Niall M. Adams, Dean A. Bodenham
In many real-world applications, it is common that a proportion of the data may be missing or only partially observed. We develop a novel two-sample testing method based on the Max…