Mathematics
Empirical Likelihood
88%
Likelihood Methods
66%
Random variable
40%
Limiting Distribution
36%
Jackknife
29%
Law of the Iterated Logarithm
27%
Confidence interval
27%
Heavy-tailed Distribution
25%
Normal Approximation
24%
Partial Sums
22%
Estimator
22%
Stable Laws
22%
Asymptotic distribution
21%
Domain of Attraction
21%
Tail Index
21%
Distribution Function
20%
Spectral Radius
20%
Quantile
19%
Identically distributed
18%
Test Statistic
18%
Simulation Study
16%
Ensemble
16%
Strong law of large numbers
16%
Empirical Distribution
15%
Likelihood Ratio Test Statistic
15%
Independence
14%
Normal vector
14%
High-dimensional
13%
Likelihood Ratio Test
13%
Weighted Sums
13%
Infinity
13%
I.i.d. Random Variables
13%
Limit Point
12%
Additive Risk Model
12%
Random Vector
12%
Trimmed Sums
12%
Converge
12%
Copula
12%
Tail Dependence
12%
Random Matrices
12%
Central limit theorem
11%
Almost Sure Convergence
11%
Limit Distribution
11%
Non-Hermitian Matrix
11%
Extreme Value Index
11%
Unitary matrix
11%
Autoregressive Time Series
10%
Bernoulli Random Variables
10%
Business & Economics
Empirical Likelihood
100%
Random Variables
65%
Jackknife
45%
Confidence Interval
36%
Limiting Distribution
33%
Asymptotic Distribution
29%
Distribution Function
25%
Test Statistic
24%
Heavy-tailed Distribution
23%
Integer
19%
Matrix
19%
Central Limit Theorem
19%
Simulation Study
17%
Quantile
16%
Inference
16%
Limit Distribution
15%
Approximation
15%
Likelihood Ratio Test
15%
Maximum Likelihood Estimation
14%
Attraction
14%
Order Statistics
14%
Bootstrap
14%
Estimator
12%
Copula
12%
Eigenvalues
12%
Tail Index
11%
Tail Dependence
11%
Likelihood Ratio Statistic
11%
Point Process
11%
Empirical Distribution
10%
Derivatives
10%
Density Function
8%
Extreme Values
8%
Nonparametric Regression
7%
Pearson Correlation Coefficient
7%
Covariates
7%
Normal Distribution
7%
Extreme Value Statistics
7%
Bernoulli Process
6%
Likelihood Ratio
6%
Limit Theorems
6%
Correlation Matrix
5%
Least Squares
5%
Sample Size
5%
