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A New Framework for Distance and Kernel-based Metrics in High Dimensions

A New Framework for Distance and Kernel-based Metrics in High Dimensions

30 September 2019
Shubhadeep Chakraborty
Xianyang Zhang
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Papers citing "A New Framework for Distance and Kernel-based Metrics in High Dimensions"

6 / 6 papers shown
Title
U-Statistic Reduction: Higher-Order Accurate Risk Control and
  Statistical-Computational Trade-Off, with Application to Network
  Method-of-Moments
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments
Meijia Shao
Dong Xia
Yuan Zhang
31
2
0
06 Jun 2023
Statistical inferences for complex dependence of multimodal imaging data
Statistical inferences for complex dependence of multimodal imaging data
Jinyuan Chang
Jing He
Jian Kang
Mingcong Wu
31
2
0
07 Mar 2023
Change point detection in high dimensional data with U-statistics
Change point detection in high dimensional data with U-statistics
Cooper Boniece
L. Horváth
Peter Jacobs
13
1
0
18 Jul 2022
Kernel Two-Sample Tests in High Dimension: Interplay Between Moment
  Discrepancy and Dimension-and-Sample Orders
Kernel Two-Sample Tests in High Dimension: Interplay Between Moment Discrepancy and Dimension-and-Sample Orders
J. Yan
Xianyang Zhang
30
17
0
31 Dec 2021
A consistent test of independence based on a sign covariance related to
  Kendall's tau
A consistent test of independence based on a sign covariance related to Kendall's tau
Wicher P. Bergsma
A. Dassios
98
129
0
24 Jul 2010
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
177
2,577
0
28 Mar 2008
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