13 citations · 85 across the 25 of their papers we have counts for
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math.ST2020★ 5 cited
Dimension-agnostic inference using cross U-statistics
Ilmun Kim, Aaditya Ramdas
Classical asymptotic theory for statistical inference usually involves calibrating a statistic by fixing the dimension while letting the sample size increase to infinity. R…
stat.ME2020★ 3 cited
Randomized tests for high-dimensional regression: A more efficient and powerful solution
Yue Li, Ilmun Kim, Yuting Wei
We investigate the problem of testing the global null in the high-dimensional regression models when the feature dimension grows proportionally to the number of observations $n…
math.ST2020★ 13 cited
Minimax optimality of permutation tests
Ilmun Kim, Sivaraman Balakrishnan, Larry Wasserman
Permutation tests are widely used in statistics, providing a finite-sample guarantee on the type I error rate whenever the distribution of the samples under the null hypothesis is…