Before revision:  Our arguments rely on the theory of self-normalized sums and high-dimensional central limit theorems. We contribute new theoretical results for testing problems with a large number of moment inequalities, including an anti-concentration inequality for the quasi-likelihood ratio (QLR ) statistic .
After revision:  As part of our theoretical arguments, we develop new simultaneous anti-concentration inequality for the quasi-likelihood ratio (QLR ) statistic .