High-Dimensional Covariance Estimation

With High-Dimensional Data

af Mohsen (Northern Illinois University) Pourahmadi

Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences.