Mathematics
Covariate
100%
Model Selection
97%
Matrix
89%
Variance
79%
Simulation Study
71%
Probability Theory
70%
Covariance Matrix
67%
Linear Regression Analysis
65%
Bayesian
63%
Asymptotics
63%
Least Square
62%
Regression Model
60%
Gaussian Distribution
57%
Conditionals
56%
Parametric
51%
Residuals
50%
Quantile Regression
48%
Real Data
47%
Regularization
47%
Dimensional Data
46%
Higher Dimensions
46%
Outlier
43%
Markov Chain Monte Carlo
42%
Cross-Validation
41%
Monte Carlo
39%
Supplementary Material
39%
Minimax
36%
Quantile
36%
Linear Models
34%
Markov Chain
34%
Covariance
33%
Approximates
33%
Support Vector Machine
33%
Response Variable
32%
Test Statistic
30%
Reduction Method
30%
Convergence Rate
30%
Likelihood Ratio Test
29%
Parameter Estimation
28%
Random Variable
28%
Generalized Linear Model
28%
Maximum Likelihood Estimator
27%
Maximum Likelihood
27%
Central Limit Theorem
26%
Regression Coefficient
26%
Cumulative Sum
26%
Linear Combination
26%
Discriminant Analysis
25%
Graphical Model
25%
Eigenvalue
24%
Neural Network
23%
Statistical Hypothesis Testing
23%
Conditional Distribution
23%
Variance Estimation
23%
Information Criterion
23%
Linear Regression Model
22%
Upper Bound
22%
Asymptotic Distribution
22%
Asymptotic Property
22%
Square Regression
21%
Optimality
21%
Limiting Distribution
21%
Principal Components
20%
Degree of Freedom
20%
Statistical Process Control
20%
Objective Function
19%
Loss Function
19%
Spline
19%
Gibbs Sampler
19%
Regression Function
19%
Median
19%
Partial Least Squares
18%
Simulated Data
18%
Posterior Distribution
18%
Maximum Likelihood
18%
Random Matrix
18%
Finite Population
17%
Treatment Effect
16%
Graphical Method
16%
Statistical Analysis
16%
Numerical Example
16%
Parameter Estimate
16%
Parameter Space
16%
Admissibility
16%
Regression Estimator
16%
Correlation Matrix
16%
Statistical Method
16%
Confidence Interval
16%
Goodness of Fit Test
15%
Predictive Performance
15%
Logistic Regression
15%
Alternating Direction Method of Multipliers
15%
Linear Approximation
15%
Multivariate Data
15%
Squared Error
15%
Censored Data
14%
Elastic Net
14%
Numerical Experiment
14%
Multivariate Regression
14%
Interpretability
14%
Keyphrases
Dimensionality Reduction
73%
Model Selection
67%
Simulation Study
63%
Sufficient Dimension Reduction
54%
Covariance Matrix
49%
Antiretroviral Therapy
49%
Nonparametric
45%
Linear Regression
43%
Convergence Rate
41%
Parameter Estimation
39%
Markov Chain Monte Carlo
38%
Regression Model
37%
Sliced Inverse Regression
34%
Least Absolute Shrinkage and Selection Operator (LASSO)
34%
High Dimension
34%
Support Vector Machine
33%
Popular
31%
Feature Selection
31%
Model Selection Strategy
30%
High-dimensional Data
30%
Penalized Regression
30%
Likelihood Ratio Test
30%
High-dimensional Regression
30%
Prediction Accuracy
30%
Nonconvex
28%
Semi-parametric
27%
Markov Chain
27%
Genome-wide Association Study
27%
Response Variable
26%
Test Statistic
26%
Minnesota
25%
Ultrahigh-dimensional
24%
Limiting Distribution
24%
Hypothesis Testing
24%
Confidence Interval
24%
Likelihood Ratio
23%
Inverse Regression
23%
Generalized Linear Model
23%
Central Limit Theorem
23%
Theoretical Properties
23%
Statistical Analysis
22%
Estimation Method
21%
Quantile Regression
21%
Envelope Model
21%
Bootstrap
21%
Partial Least Squares Structural Equation Modeling (PLS-SEM)
21%
Quantitative Structure-activity Relationship
21%
Central Subspace
20%
Performance Prediction
20%
COVID-19
20%
Maximum Likelihood Estimation
20%
Statistical Model
20%
Cumulative Sum
20%
Linear Combination
20%
Maximum Likelihood Estimator
20%
Principal Coordinate Analysis (PCoA)
19%
Regression Function
19%
Random Variables
19%
Asymptotic Properties
19%
Regression Analysis
18%
Regression Coefficient
18%
Asymptotic Distribution
18%
Sparsity
18%
Linear Regression Model
18%
Conditional Distribution
18%
Statistical Process Control
18%
Sliced Average Variance Estimation
17%
CD4 Count
17%
Multivariate Linear Regression
17%
Posterior Distribution
17%
Ridge Regression
17%
Penalized Likelihood
16%
Selection Strategy
16%
High-dimensional Setting
16%
Large Covariance Matrix
16%
Proposed Methodology
16%
Model Fitting
16%
True Model
16%
Discriminant Analysis
16%
In-control
16%
Information Criteria
16%
High Breakdown
15%
Control Chart
15%
Statistical Methods
15%
Gibbs Sampler
15%
Multicategory
15%
Graphical Method
15%
Finite Sample Performance
15%
Parameter Space
15%
Precision Matrix
15%
Bootstrap Method
15%
Nonlinear Regression
15%
Elemental Set
15%
Microarray Data
14%
Latent Variables
14%
Computationally Efficient
14%
Solution Path
14%
Regression Problem
14%
Bayesian Approach
14%
Multivariate Data
14%