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stat.ME2022★ 2 cited
A Permutation-Free Kernel Independence Test
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
In nonparametric independence testing, we observe i.i.d.\ data , where lie in any general spaces, and we wish to test…
math.ST2022★ 4 cited
Multiple testing under negative dependence
Ziyu Chi, Aaditya Ramdas, Ruodu Wang
The multiple testing literature has primarily dealt with three types of dependence assumptions between p-values: independence, positive regression dependence, and arbitrary depende…
stat.ML2022★ 2 cited
Sequential Kernelized Independence Testing
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan +1
Independence testing is a classical statistical problem that has been extensively studied in the batch setting when one fixes the sample size before collecting data. However, pract…