In nonparametric independence testing, we observe i.i.d. data
{(X_i,Y_i)...
The kernel Maximum Mean Discrepancy (MMD) is a popular multivariate dist...
Testing the significance of a variable or group of variables X for
predi...
The latent space model is one of the well-known methods for statistical
...
In this short note, we identify and address an error in the proof of The...
We propose a series of computationally efficient, nonparametric tests fo...
In this paper, we investigate local permutation tests for testing condit...
We propose a novel nonparametric two-sample test based on the Maximum Me...
Classical asymptotic theory for statistical inference usually involves
c...
We investigate the problem of testing the global null in the high-dimens...
Permutation tests are widely used in statistics, providing a finite-samp...
In this paper, we propose a test for the equality of multiple distributi...
Two-sample testing is a fundamental problem in statistics. Despite its l...
We consider multinomial goodness-of-fit tests in the high-dimensional re...
In this work, we generalize the Cramér-von Mises statistic via projectio...