Low-Rank Covariance Matrix Estimation for Factor Analysis in Anisotropic Noise: Application to Array Processing and Portfolio Selection
Author:
Affiliation:
1. Division of Systems and Control, Department of Information Technology, Uppsala University, Uppsala, Sweden
2. Centre for Applied Research in Electronics, Indian Institute of Technology, Delhi, India
Funder
Vetenskapsrådet
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/10040758/10115494.pdf?arnumber=10115494
Reference27 articles.
1. On nonexistence of the maximum likelihood estimate in blind multichannel identification
2. Maximum-likelihood direction-of-arrival estimation in the presence of unknown nonuniform noise
3. Some contributions to maximum likelihood factor analysis
4. Statistical analysis of factor models of high dimension
5. Rank-reducibility of a symmetric matrix and sampling theory of minimum trace factor analysis
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