5 citations · 15 across the 10 of their papers we have counts for
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math.ST2018★ 5 cited
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Yinqiu He, Tiefeng Jiang, Jiyang Wen +1
Multivariate linear regressions are widely used statistical tools in many applications to model the associations between multiple related responses and a set of predictors. To infe…
math.ST2018★ 4 cited
Asymptotically Independent U-Statistics in High-Dimensional Testing
Yinqiu He, Gongjun Xu, Chong Wu +1
Many high-dimensional hypothesis tests aim to globally examine marginal or low-dimensional features of a high-dimensional joint distribution, such as testing of mean vectors, covar…