Inference for Heteroskedastic PCA with Missing Data

Yuling Yan, Yuxin Chen, Jianqing Fan

This paper studies how to construct confidence regions for principal component analysis (PCA) in high dimension, a problem that has been vastly under-explored. While computing meas…