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Two Sample Testing in High Dimension via Maximum Mean Discrepancy
Hanjia Gao
, Xiaofeng Shao
Statistics
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Dive into the research topics of 'Two Sample Testing in High Dimension via Maximum Mean Discrepancy'. Together they form a unique fingerprint.
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Mathematics
Higher Dimensions
100%
Test Statistic
100%
Normal Approximation
100%
Gaussian Distribution
50%
Central Limit Theorem
50%
Wide Range
50%
Laplace Operator
50%
Alternative Hypothesis
50%
Asymptotic Property
50%
Detect Difference
50%
Dimensional Euclidean Space
50%
Power Analysis
50%
Unbiased Statistic
50%
Keyphrases
High Dimension
100%
Two-sample Test
100%
Maximum Mean Discrepancy
100%
Sample Maximum
50%
Test Statistic
33%
Normal Approximation
33%
Studentized
33%
Numerical Simulation
16%
Popular
16%
Central Limit Theorem
16%
Convergence Rate
16%
Power Analysis
16%
Asymptotic Properties
16%
Energy Distance
16%
Frequent Use
16%
Machine Learning
16%
Gaussian Kernel
16%
Euclidean Space
16%
Explicit Rate
16%
U-statistics
16%
High-dimensional Regime
16%
Laplacian Kernel
16%
High-dimensional Environments
16%