3 papers
stat.ME2026
Categorical distance correlation under general encodings and its application to high-dimensional feature screening
Qingyang Zhang
In this paper, we extend distance correlation to categorical data with general encodings, such as one-hot encoding for nominal variables and semicircle encoding for ordinal variabl…
stat.ME2024
On the asymptotic distributions of some test statistics for two-way contingency tables
Qingyang Zhang
Pearson's Chi-square test is a widely used tool for analyzing categorical data, yet its statistical power has remained theoretically underexplored. Due to the difficulties in obtai…
stat.ME2024
A note on distance variance for categorical variables
Qingyang Zhang
This study investigates the extension of distance variance, a validated spread metric for continuous and binary variables [Edelmann et al., 2020, Ann. Stat., 48(6)], to quantify th…