Cencheng Shen
Cited by
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From distance correlation to multiscale graph correlation
C Shen, CE Priebe, JT Vogelstein
Journal of the American Statistical Association, 1-22, 2019
Discovering and deciphering relationships across disparate data modalities
JT Vogelstein, EW Bridgeford, Q Wang, CE Priebe, M Maggioni, C Shen
Elife 8, e41690, 2019
The exact equivalence of distance and kernel methods in hypothesis testing
C Shen, JT Vogelstein
AStA Advances in Statistical Analysis, 1-19, 2020
Generalized canonical correlation analysis for classification
C Shen, M Sun, M Tang, CE Priebe
Journal of Multivariate Analysis 130, 310-322, 2014
Sparse projection oblique randomer forests
TM Tomita, J Browne, C Shen, J Chung, JL Patsolic, B Falk, CE Priebe, ...
Journal of machine learning research 21 (104), 2020
Robust vertex classification
L Chen, C Shen, JT Vogelstein, CE Priebe
IEEE transactions on pattern analysis and machine intelligence 38 (3), 578-590, 2015
Network dependence testing via diffusion maps and distance-based correlations
Y Lee, C Shen, CE Priebe, JT Vogelstein
Biometrika 106 (4), 857-873, 2019
Manifold matching using shortest-path distance and joint neighborhood selection
C Shen, JT Vogelstein, CE Priebe
Pattern Recognition Letters 92, 41-48, 2017
hyppo: A Multivariate Hypothesis Testing Python Package
S Panda, S Palaniappan, J Xiong, EW Bridgeford, R Mehta, C Shen, ...
arXiv preprint arXiv:1907.02088, 2019
Signal subgraph estimation via iterative vertex screening
S Wang, C Shen, A Badea, CE Priebe, JT Vogelstein
arXiv, 1801
Sparse representation classification beyond ℓ1 minimization and the subspace assumption
C Shen, L Chen, Y Dong, CE Priebe
IEEE Transactions on Information Theory 66 (8), 5061-5071, 2020
The exact equivalence of independence testing and two-sample testing
C Shen, CE Priebe, JT Vogelstein
arXiv e-prints, arXiv: 1910.08883, 2019
On the incommensurability phenomenon
DE Fishkind, C Shen, Y Park, CE Priebe
Journal of Classification 33 (2), 185-209, 2016
The chi-square test of distance correlation
C Shen, S Panda, JT Vogelstein
Journal of Computational and Graphical Statistics, 1-21, 2021
Graph independence testing
J Xiong, C Shen, J Arroyo, JT Vogelstein
arXiv preprint arXiv:1906.03661, 2019
Independence Testing for Multivariate Time Series
R Mehta, J Chung, C Shen, T Xu, JT Vogelstein
arXiv preprint arXiv:1908.06486, 2019
High-dimensional independence testing and maximum marginal correlation
C Shen
arXiv preprint arXiv:2001.01095, 2020
Estimating Information-Theoretic Quantities with Uncertainty Forests
R Mehta, R Guo, J Arroyo, M Powell, H Helm, C Shen, JT Vogelstein
arXiv preprint arXiv:1907.00325, 2019
Decision Forests Induce Characteristic Kernels
C Shen, JT Vogelstein
arXiv preprint arXiv:1812.00029, 2018
Sparse Projection Oblique Randomer Forests
TM Tomita, J Browne, C Shen, J Chung, JL Patsolic, B Falk, J Yim, ...
stat 1050, 30, 2019
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