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1505.02213
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Measuring dependence powerfully and equitably
9 May 2015
Yakir A. Reshef
David N. Reshef
H. Finucane
Pardis C Sabeti
Michael Mitzenmacher
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Papers citing
"Measuring dependence powerfully and equitably"
11 / 11 papers shown
Title
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
Hsiao-Ying Lu
Takanori Fujiwara
Ming-Yi Chang
Yang-chih Fu
Anders Ynnerman
Kwan-Liu Ma
CML
76
3
0
16 Mar 2023
Augmenting data-driven models for energy systems through feature engineering: A Python framework for feature engineering
Sandra Wilfling
26
1
0
04 Jan 2023
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs
Nabarun Deb
Promit Ghosal
B. Sen
516
50
0
05 Oct 2020
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
Yiran Li
Takanori Fujiwara
Y. Choi
Katherine K. Kim
K. Ma
OOD
121
27
0
18 Feb 2020
A new coefficient of correlation
S. Chatterjee
120
259
0
23 Sep 2019
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure Transportation
Nabarun Deb
B. Sen
131
134
0
18 Sep 2019
The Hellinger Correlation
G. Geenens
P. Lafaye De Micheaux
108
32
0
24 Oct 2018
Symmetric Rank Covariances: a Generalised Framework for Nonparametric Measures of Dependence
Luca Weihs
Mathias Drton
N. Meinshausen
79
63
0
18 Aug 2017
Optimal Copula Transport for Clustering Multivariate Time Series
Gautier Marti
Frank Nielsen
Philippe Donnat
OT
AI4TS
140
8
0
27 Sep 2015
An Empirical Study of Leading Measures of Dependence
David N. Reshef
Yakir A. Reshef
Pardis C Sabeti
Michael Mitzenmacher
84
18
0
09 May 2015
Equitability, interval estimation, and statistical power
Yakir A. Reshef
David N. Reshef
Pardis C Sabeti
Michael Mitzenmacher
84
11
0
09 May 2015
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