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Randomized incomplete u-statistics in high dimensions
Xiaohui Chen
, Kengo Kato
Statistics
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Keyphrases
Approximation Error Bounds
14%
Attractive Alternatives
14%
Big Data Era
14%
Bootstrap Method
42%
Computational Cost
14%
Computationally Expensive
14%
Data Dependency
14%
Degenerate Kernel
14%
Empirical Bootstrap
14%
Finite Sample
14%
Gaussian Approximation
14%
High Dimension
100%
Incomplete U-statistics
57%
Mean Vector
14%
Non-asymptotic
14%
Non-degenerate
14%
Nonparametric Testing
14%
Pairwise Independence
14%
Random Vector
14%
Sample Validity
14%
Sparse Weight
14%
U-statistics
100%
Weak Assumption
14%
Mathematics
Approximation Error
10%
Bootstrap Method
30%
Bootstrapping
10%
Computational Cost
10%
Dependent Data
10%
Dimensional Random Vector
10%
Error Bound
10%
Gaussian Distribution
10%
Higher Dimensions
100%
Pairwise Independence
10%
Statistics
100%
U-Statistics
100%
Weaker Assumption
10%