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Large covariance estimation through elliptical factor models
Jianqing Fan
, Han Liu, Weichen Wang
Operations Research & Financial Engineering
Bendheim Center for Finance
Center for Statistics & Machine Learning
Economics
Research output
:
Contribution to journal
›
Article
›
peer-review
34
Scopus citations
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Dive into the research topics of 'Large covariance estimation through elliptical factor models'. Together they form a unique fingerprint.
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Mathematics
Covariance Estimation
100%
Factor Models
88%
Thresholding
42%
Framework
40%
Complement
27%
Covariance Matrix Estimation
26%
Kendall's tau
23%
Elliptical Distribution
23%
Conditional Model
22%
Approximate Model
22%
Sample Covariance Matrix
21%
Matrix Norm
21%
Dimensional Analysis
21%
Optimal Rate of Convergence
20%
Graphical Models
20%
Robust Estimators
20%
Covariance Structure
19%
Principal Component Analysis
18%
Sparsity
18%
High-dimensional
14%
Numerical Results
11%
Sufficient Conditions
8%
Business & Economics
Covariance Matrix Estimation
29%
Elliptical Distribution
27%
Kendall's tau
27%
Graphical Models
24%
Robust Estimators
24%
Principal Component Analysis
23%
Rate of Convergence
21%
Covariance Matrix
19%
Matrix
15%