Keyphrases
Least Absolute Shrinkage and Selection Operator (LASSO)
100%
Geodesic Convexity
100%
Eigenvalues
100%
Robust Approach
100%
Nonsmooth
75%
Penalization Method
50%
Sample Covariance Matrix
50%
Multivariate Normal
50%
Model Selection Strategy
50%
Penalization
50%
High-dimensional Data
50%
Plug-in Method
50%
Classical Statistical Methods
50%
Nonconvex Penalty
50%
Experimental Unit
50%
Estimation Method
25%
Developing Model
25%
Long History
25%
Impact Review
25%
Statistical Methods
25%
Meteorology
25%
Sampling numbers
25%
Robust Statistical Method
25%
Small Sample Size
25%
Bad Data
25%
Sample Eigenvalues
25%
Convex Function
25%
Multivariate Statistical Analysis
25%
Spiked Covariance Model
25%
Precision Matrix
25%
M-estimator
25%
Covariance Matrix
25%
Chemometrics
25%
Review Criteria
25%
Number of Parameters
25%
Analysis multivariate
25%
Multivariate Data
25%
High-dimensional Covariance Matrix
25%
Large Sample Size
25%
Low Quality Data
25%
Eigenvalues of Random Matrices
25%
Detecting Outliers
25%
Computer Science Engineering
25%
Data-centric
25%
Mathematics
Eigenvalue
100%
Statistical Method
80%
Sample Point
60%
Sample Covariance Matrix
40%
Multivariate Normal
40%
Model Selection
40%
Multivariate Analysis
40%
Covariance Matrix
40%
Dimensional Data
40%
Outlier
40%
M-Estimator
20%
Classical Method
20%
Covariance Model
20%
Matrix (Mathematics)
20%
Convex Function
20%
Data Point
20%
Detecting Outlier
20%
Valid Conclusion
20%
Random Matrix
20%