The Chi-Square Test of Distance Correlation

27 December 2019

Papers citing "The Chi-Square Test of Distance Correlation"

13 / 13 papers shown

Title
Explaining Categorical Feature Interactions Using Graph Covariance and LLMs Cencheng Shen Darren Edge Jonathan Larson Carey E. Priebe 34 1 0 28 Jan 2025
A note on distance variance for categorical variables Qingyang Zhang 18 0 0 10 May 2024
Learning sources of variability from high-dimensional observational studies Eric W. Bridgeford Jaewon Chung B. Gilbert Sambit Panda Adam Li Cencheng Shen A. Badea B. Caffo Joshua T. Vogelstein CML 15 3 0 26 Jul 2023
Synergistic Graph Fusion via Encoder Embedding Cencheng Shen Carey E. Priebe Jonathan Larson Ha Trinh AI4CE 30 7 0 31 Mar 2023
Testing for context-dependent changes in neural encoding in naturalistic experiments Ye Chen Carl Harris Xiaoyu Ma Zheng Li Francisco Câmara Pereira Charles Y.Zheng 31 0 0 17 Nov 2022
Private independence testing across two parties Praneeth Vepakomma M. Amiri C. Canonne Ramesh Raskar Alex Pentland 26 2 0 08 Jul 2022
On Exact Feature Screening in Ultrahigh-dimensional Binary Classification Sarbojit Roy Soham Sarkar S. Dutta A. Ghosh 23 3 0 08 May 2022
The FEDHC Bayesian network learning algorithm M. Tsagris 19 3 0 30 Nov 2020
High-Dimensional Independence Testing via Maximum and Average Distance Correlations Cencheng Shen Yuexiao Dong 18 8 0 04 Jan 2020
Independence Testing for Temporal Data Cencheng Shen Jaewon Chung Ronak R. Mehta Ting Xu Joshua T. Vogelstein 26 5 0 18 Aug 2019
A fast algorithm for computing distance correlation A. Chaudhuri Wenhao Hu 34 65 0 26 Oct 2018
The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing Cencheng Shen Joshua T. Vogelstein 6 43 0 14 Jun 2018
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 175 2,577 0 28 Mar 2008