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20132025
most citedThe Chi-Square Test of Distance Correlation

89 citations · 430 across the 37 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

stat.ML2019★ 89 cited

The Chi-Square Test of Distance Correlation

Cencheng Shen, Sambit Panda, Joshua T. Vogelstein

Distance correlation has gained much recent attention in the data science community: the sample statistic is straightforward to compute and asymptotically equals zero if and only i…

stat.ML2019★ 7 cited

Universally Consistent K-Sample Tests via Dependence Measures

Sambit Panda, Cencheng Shen, Ronan Perry +4

The K-sample testing problem involves determining whether K groups of data points are each drawn from the same distribution. Analysis of variance is arguably the most classical met…

stat.ML2019★ 1 cited

Independence Testing for Temporal Data

Cencheng Shen, Jaewon Chung, Ronak Mehta +2

Temporal data are increasingly prevalent in modern data science. A fundamental question is whether two time series are related or not. Existing approaches often have limitations, s…

stat.CO2019★ 9 cited

hyppo: A Multivariate Hypothesis Testing Python Package

Sambit Panda, Satish Palaniappan, Junhao Xiong +4

We introduce hyppo, a unified library for performing multivariate hypothesis testing, including independence, two-sample, and k-sample testing. While many multivariate independence…

cs.LG2019★ 3 cited

Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities

Ronan Perry, Ronak Mehta, Richard Guo +6

Information-theoretic quantities, such as conditional entropy and mutual information, are critical data summaries for quantifying uncertainty. Current widely used approaches for co…

cs.LG2019

Sparse Representation Classification via Screening for Graphs

Cencheng Shen, Li Chen, Yuexiao Dong +1

The sparse representation classifier (SRC) is shown to work well for image recognition problems that satisfy a subspace assumption. In this paper we propose a new implementation of…

stat.ME2019★ 4 cited

Community Correlations and Testing Independence Between Binary Graphs

Cencheng Shen, Jesüs Arroyo, Junhao Xiong +1

Graph data has a unique structure that deviates from standard data assumptions, often necessitating modifications to existing methods or the development of new ones to ensure valid…