Mathematics
Estimator
73%
High-dimensional
71%
Regression
41%
Factor Models
38%
Variable Selection
29%
Volatility
29%
Covariance matrix
28%
Dimensionality
27%
Model
26%
Screening
25%
Performance
24%
Covariates
24%
Simulation Study
24%
Varying Coefficient Model
24%
Estimate
22%
Asymptotic Normality
22%
Local Polynomial
21%
Thresholding
20%
Semiparametric Model
20%
Varying Coefficients
19%
Bandwidth
19%
Penalized Likelihood
19%
Additive Models
19%
Independence
18%
Demonstrate
18%
Statistical Learning
17%
Methodology
17%
Sample Size
17%
Quasi-likelihood
17%
Statistics
17%
Minimax
17%
Modeling
17%
Nonparametric Methods
17%
Principal Component Analysis
17%
Likelihood Ratio Statistic
16%
Local Linear Regression
16%
Regression Model
15%
Longitudinal Data
15%
Nonparametric Estimation
15%
Machine Learning
15%
Nonparametric Regression
15%
Sparsity
15%
Bandwidth Selection
15%
Oracle Property
15%
Generalized Likelihood Ratio Test
14%
Local Polynomial Regression
14%
Penalty Function
14%
Rate of Convergence
14%
Local Likelihood
13%
Linear Model
13%
Generalized Linear Model
13%
Eigenvector
13%
Local Polynomial Fitting
13%
Learning
13%
Partial Likelihood
13%
Covariance Estimation
13%
Statistical Inference
13%
Density Estimation
13%
Low-rank Matrices
12%
Multiple Testing
12%
Unknown
12%
Regression Function
12%
Model Selection
12%
High-frequency Data
12%
False
12%
Parametric Model
12%
Multivariate Failure Times
12%
High-dimensional Data
12%
Cross-validation
12%
Longitudinal Data Analysis
12%
Econometrics
12%
Penalty
11%
Simulation
11%
Nonparametric Inference
11%
Lasso
11%
Nonparametric Model
11%
Dependent Data
11%
Covariance Matrix Estimation
11%
Conditional Density
11%
Correlation Matrix
11%
Data analysis
10%
Asymptotic distribution
10%
Test Statistic
10%
Nonconvex Optimization
10%
Selection Procedures
10%
Failure Time Data
10%
Microarray Data
10%
Selector
10%
Penalized Least Squares
10%
Likelihood
10%
Adaptive Design
10%
Financial Data
10%
Linear regression
9%
Oracle
9%
Hazard
9%
Mixing Processes
9%
Multivariate Data
9%
Asymptotic Properties
9%
Efficient Estimation
9%
Business & Economics
Estimator
100%
Matrix
50%
Covariance Matrix
46%
Variable Selection
45%
Covariates
34%
Simulation Study
32%
Local Polynomial
32%
Sample Size
31%
Rate of Convergence
29%
Asymptotic Normality
28%
Regularization
27%
Dimensionality
27%
Inference
25%
Bandwidth
25%
Varying Coefficient Model
24%
Minimax
23%
Quasi-likelihood
21%
Principal Component Analysis
21%
Model Selection
20%
Additive Models
20%
Likelihood Ratio Statistic
20%
Factors
20%
Testing
20%
Coefficients
19%
Eigenvalues
18%
Statistical Inference
17%
Screening
17%
Nonparametric Regression
17%
Longitudinal Data
17%
Smoothing
17%
Likelihood Ratio Test
16%
Financial Econometrics
16%
Finite Sample
16%
Nonparametric Methods
15%
Performance
15%
Statistics
15%
Cross-validation
15%
Wavelets
15%
Regression Model
15%
Kernel
15%
Approximation
15%
Semiparametric Model
15%
Penalty Function
15%
Linear Regression
15%
Generalized Linear Model
15%
Covariance Matrix Estimation
14%
Asymptotic Properties
14%
Modeling
14%
Likelihood Estimation
14%
Test Statistic
13%
Graphical Models
13%
Financial Data
12%
Simulation
12%
Correlation Matrix
12%
Microarray
12%
High-frequency Data
11%
Nonparametric Test
10%
Penalty
10%
Asymptotic Distribution
10%
Jump
10%
Bootstrap
10%
Density Estimation
9%
Regression Coefficient
9%
Nonparametric Estimation
9%
Hub
9%
Statistical Estimation
9%
Hazard
9%
Nonlinear Time Series
9%
Monte Carlo Simulation
9%
Machine Learning
9%
Quantile Regression
9%
Methodology
8%
Asymptotic Theory
8%
Bias Correction
8%
Predictors
8%
Prediction
8%
Polynomial Regression
8%
Convergence Rate
8%
Semiparametric Estimation
8%
Dimension Reduction
8%
Convex Optimization
8%
Parametric Model
8%
Big Data
8%
Optimality
8%
Robust Estimation
8%
Spectral Density
8%
Alternatives
7%
Variance Estimation
7%
Density Function
7%
Spurious Correlation
7%
Upper Bound
7%
Cox Proportional Hazards Model
7%
Discriminant
7%
Errors in Variables
7%
Derivatives
7%
Likelihood Ratio
7%
Value at Risk
7%
Efficient Estimation
7%
Nonparametric Model
7%
Kernel Regression
6%
