16 citations · 23 across the 11 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.ME2021★ 1 cited
Asymptotic Distribution-Free Independence Test for High Dimension Data
Zhanrui Cai, Jing Lei, Kathryn Roeder
Test of independence is of fundamental importance in modern data analysis, with broad applications in variable selection, graphical models, and causal inference. When the data is h…
stat.ME2021★ 16 cited
A Distribution Free Conditional Independence Test with Applications to Causal Discovery
Zhanrui Cai, Runze Li, Yaowu Zhang
This paper is concerned with test of the conditional independence. We first establish an equivalence between the conditional independence and the mutual independence. Based on the…