Mathematics
Estimator
62%
Spherically Symmetric Distribution
52%
Minimax Estimator
42%
Location Parameter
40%
Quadratic Loss
39%
Generalized Bayes Estimator
37%
Bayes Estimator
35%
Minimax
33%
Predictive Density
31%
Minimaxity
30%
Minimax Estimation
29%
Bayes
28%
Shrinkage
28%
Scale Mixture
27%
Shrinkage Estimation
26%
Density Estimation
24%
Admissibility
22%
Shrinkage Estimator
22%
Scale Parameter
21%
Squared Error Loss
19%
Unbiased estimator
18%
Unknown
18%
Multivariate Normal Distribution
17%
Class
16%
Equivariant Estimator
16%
Stein Estimation
16%
Restricted Parameter Space
15%
Inadmissibility
15%
James-Stein Estimator
15%
Mixture of Normal Distributions
14%
Multivariate Normal
14%
Elliptically Symmetric Distributions
13%
Bayes Estimation
12%
Estimate
11%
Covariance matrix
10%
Form
10%
Stein-type Estimator
9%
Invariant
9%
Hierarchical Prior
8%
Family
8%
Plug-in
8%
Unknown Parameters
7%
Exponential Family
7%
Benchmark
7%
Equivariant
7%
Stein's Identity
7%
Simultaneous Estimation
7%
Non-negative
7%
Model
7%
Gaussian distribution
7%
Business & Economics
Estimator
100%
Minimax
60%
Predictive Density
32%
Shrinkage
30%
Density Estimation
30%
Shrinkage Estimation
24%
Admissibility
22%
Matrix
16%
Shrinkage Estimator
16%
Multivariate Normal Distribution
15%
Normal Distribution
11%
Exponential Family
10%
Loss Function
10%
Covariance Matrix
9%
Ridge Regression
7%
Point Estimation
7%
Domination
7%
Lower Bounds
7%
Predictors
6%
Confidence Interval
6%
Random Variables
6%
Confidence
5%
Closeness
5%
