Mathematics
Covariance matrix
100%
High-dimensional
76%
High-dimensional Data
61%
Linear regression
61%
Outlier
52%
Observation
49%
Lasso
41%
Graphical Modeling
41%
Estimator
39%
Portfolio Optimization
36%
Model Selection Criteria
34%
Two-sample Test
34%
Regression Analysis
33%
Matrix Norm
32%
Contamination
31%
Robust Methods
31%
Optimization Algorithm
28%
Asymptotic distribution
27%
Statistical property
26%
Positive definite
24%
Thresholding
24%
Likelihood
23%
Regression
20%
Cell
19%
Multiple Responses
19%
Penalty
18%
Infinity
17%
Conditional Independence
16%
Sample Size
15%
Simulation Study
14%
Coefficient
13%
Positive Definiteness
12%
Minimum Variance
12%
Eigenvalue
12%
Adaptive Thresholding
12%
Convex Combination
11%
Divergence
11%
Pairwise
11%
Two-stage Procedure
11%
Diagonal matrix
11%
Entire
11%
Convolution
11%
Model
10%
Compound Symmetry
10%
Random Error
10%
Robust Estimation
10%
Tend
9%
Equality
9%
Partial
8%
Chi-squared distribution
8%
Business & Economics
Covariance Matrix
93%
Outliers
72%
Linear Regression
64%
Estimator
52%
Matrix
51%
Regression Analysis
43%
Asymptotic Distribution
37%
Model Selection Criteria
36%
Robust Methods
36%
Contamination
28%
Portfolio Optimization
28%
Sample Size
27%
Eigenvalues
24%
Coefficients
19%
Modeling
19%
Simulation Study
19%
Convolution
18%
Conditional Independence
18%
Penalty
17%
Minimum Variance
13%
Graph
12%
Divergence
12%
Random Error
12%
Robust Estimation
11%
Regularization
11%
Model Selection
10%
Least Squares
9%
Covariance Matrix Estimation
8%
Testing
8%
Mean Squared Error
8%
Linear Regression Model
7%
Dimensionality
7%
Symmetry
7%
Predictors
7%
Hypothesis Testing
6%
Optimal Portfolio
5%
Substitute
5%
Equality
5%
