A More Powerful Two-Sample Test in High Dimensions using Random Projection Miles E. Lopes 1 Laurent Jacob 1 Martin J. Wainwright 1,2 Departments of Statistics

Neural Information Processing Systems 

We consider the hypothesis testing problem of detecting a shift between the means of two multivariate normal distributions in the high-dimensional setting, allowing for the data dimension p to exceed the sample size n.