📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

High-dimensional principal component analysis with heterogeneous missingness (2019)

First Author: Zhu Z

Attributed to: Statistical methodology and theory for the Big Data era (Ext.) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1906.12125

Publication URI: https://arxiv.org/abs/1906.12125

Type: Preprint