Jiaqi Gu

Delaunay Weighted Two-sample Test for High-dimensional Data by Incorporating Geometric Information

Two-sample hypothesis testing is a fundamental problem with various applications, which faces new challenges in the high-dimensional context.To mitigate the issue of the curse of dimensionality, high-dimensional data are typically assumed to lie on a low-dimensional manifold.To i...

Robust Inference With Ghostknockoffs in Genome‐Wide Association Studies With Sample Relatedness

ABSTRACT Genome‐wide association studies (GWASs) have been extensively adopted to depict the underlying genetic architecture of complex traits. Recent studies show that knockoff‐based methods can identify variants with unique, potentially causal effects on phenotypes. However, th...