High-dimensional principal component analysis with heterogeneous missingness

Ziwei Zhu, Tengyao Wang, Richard J. Samworth

We study the problem of high-dimensional Principal Component Analysis (PCA) with missing observations. In simple, homogeneous missingness settings with a noise level of constant or…