1 citations · 2 across the 5 of their papers we have counts for
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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…
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…
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…
On the properties of distance covariance for categorical data: Robustness, sure screening, and approximate null distributions
Qingyang Zhang
Pearson's Chi-squared test, though widely used for detecting association between categorical variables, exhibits low statistical power in large sparse contingency tables. To addres…
On relationships between Chatterjee's and Spearman's correlation coefficients
Qingyang Zhang
In his seminal work, Chatterjee (2021) introduced a novel correlation measure which is distribution-free, asymptotically normal, and consistent against all alternatives. In this pa…