Mathematics
Asymptotic Normality
15%
Asymptotic Theory
18%
Asymptotic Variance
25%
Asymptotics
82%
Autocorrelation
25%
Autoregressive Integrated Moving Average Model
13%
Bootstrapping
90%
Central Limit Theorem
16%
Changepoint Detection
33%
Characteristic Function
14%
Conditionals
80%
Confidence Interval
37%
Confidence Set
15%
Covariance
22%
Dimensional Data
30%
Empirical Likelihood
24%
Free Test
19%
Functional Data
19%
Functional Principal Component Analysis
13%
Gaussian Distribution
21%
Heteroscedasticity
20%
Higher Dimensions
41%
Image Processing
13%
Limit Theorem
13%
Limiting Distribution
38%
Matrix (Mathematics)
39%
Null
60%
Numerical Analysis
19%
Numerical Simulation
21%
Parametric
22%
Parametric Inference
13%
Quantile
18%
Random Field
13%
Real Data
55%
Regression Diagnostics
13%
Regression Model
19%
Simulation Study
49%
Spatial Data
22%
Spectral Theory
13%
Stationary Time Series
37%
Statistics
72%
Studentization
13%
Subsample
13%
Test Point
14%
Test Statistic
100%
Testing Problem
13%
Time Series Model
37%
U-Statistics
25%
Variance
14%
Variance Estimator
18%
Keyphrases
Asymptotic null Distribution
13%
Asymptotic Theory
14%
Asymptotic Variance
18%
Block Bootstrap
17%
Blockwise Empirical Likelihood
13%
Bootstrap
40%
Bootstrap Method
28%
Change Point Detection
26%
Conditional Mean
17%
Conditional Mean Independence
13%
Confidence Interval
32%
Consistent Estimation
15%
Dependent Errors
22%
Dependent Wild Bootstrap
19%
Dimensionality Reduction
14%
Divergence Matrix
22%
Empirical Likelihood
15%
Finite Sample Performance
32%
Fixed-b
19%
Fixed-b Asymptotics
14%
Heteroscedasticity
32%
High Dimension
41%
High-dimensional Data
31%
Limiting Distribution
27%
Limiting null Distribution
17%
Local Alternatives
15%
Long Memory
15%
Long-run Variance Estimation
13%
Martingale Difference Divergence
38%
Multiple Change-points
15%
Nonlinear Time Series
19%
Nonparametric
15%
Normalization Method
13%
Numerical Simulation
22%
Self-normalization
90%
Self-normalized
36%
Simulation Study
35%
Spatial Data
16%
Stationary Time Series
29%
Statistical Methods
25%
Sufficient Dimension Reduction
14%
Temporal Dependence
17%
Test Statistic
86%
Time Series Model
16%
Tuning Parameter
32%
Two-sample
19%
Two-sample Test
17%
U-statistics
27%
Weakly Dependent
16%
Wild Bootstrap
17%
