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On variance estimation of random forests with Infinite-order U-statistics
Tianning Xu
,
Ruoqing Zhu
, Xiaofeng Shao
Statistics
National Center for Supercomputing Applications (NCSA)
Nutritional Sciences
Carl R. Woese Institute for Genomic Biology
Biomedical and Translational Sciences
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Keyphrases
Variance Estimation
100%
Random Forest
100%
Infinite-order U-statistics
100%
Confidence Interval
66%
Theoretical Properties
66%
Unbiased Estimator
66%
Leading Terms
66%
Coverage Rate
66%
Variance Estimator
66%
Hoeffding Decomposition
66%
Smoothing Methods
33%
Simulation Study
33%
Normality
33%
Low Bias
33%
Kernel Size
33%
New View
33%
Property Relations
33%
Finite Sample Performance
33%
Dominance Property
33%
Biased Estimation
33%
Local Smoothing
33%
Ensemble Machine Learning
33%
Subagging
33%
Asymptotic Coverage
33%
Mathematics
Infinite Order
100%
Variance Estimation
100%
Unbiased Statistic
100%
Unbiased Estimator
66%
Confidence Interval
66%
Leading Term
66%
Variance Estimator
66%
Simulation Study
33%
Asymptotics
33%