Mathematics
Variables
100%
Discriminant Analysis
92%
Samples
61%
Matrix
51%
Simulation Study
48%
Covariate
48%
Covariance Matrix
48%
Correlation Matrix
46%
Selection
46%
Sample Size
44%
Number
41%
Covariance
41%
Inference
38%
Confounders
38%
Survival Analysis
38%
Precision
35%
Discriminant
33%
Algorithm
33%
Random Sample
30%
Network Model
30%
Residuals
30%
Inferential Statistics
30%
Dimensional Space
30%
Linear Programming
30%
Multicollinearity
30%
Parameter Estimation
30%
Sample Size Determination
30%
Statistics
30%
Classes
30%
Direct Approach
30%
Regression
25%
Parameters
25%
Interaction Effect
23%
Modeling
22%
Numerical Analysis
21%
Minimax
20%
Nets
20%
Absolute Error
20%
Classification
16%
Dimensional Data
16%
Method of Moment
15%
Characteristic Curve
15%
Trigonometric
15%
Asymptotic Distribution
15%
Failure Time
15%
Asymptotic Property
15%
Causal Effect
15%
Sequences
15%
Regression Model
15%
Variable Method
15%
Computer Science
Models
76%
User
61%
Linear Discriminant Analysis
61%
Events
55%
System Analysis
51%
Linear Programming
51%
Websites
43%
Simulation Study
39%
Messages
36%
Entropy
30%
Reclassification
30%
Precision Matrix
30%
Semiparametric Model
30%
Directed Network
30%
Statistics
30%
Controlled Experiment
30%
Dimensional Space
30%
Quadratic Loss
30%
Discriminant Analysis
30%
Algorithms
30%
Classes
30%
Diagnostic Accuracy
30%
Direct Approach
30%
Misclassification Rate
26%
e-Mail
24%
Interaction Effect
23%
Data Analysis
21%
Classification
16%
Computation Complexity
15%
Learning Approach
15%
Asymptotic Distribution
15%
Machine Learning-Based Approach
15%
Machine Learning Approach
15%
Characteristic Curve
15%
Contexts
13%
Procedures
12%
Sparsity
12%
High Dimensional Data
12%
Design
12%
Asymptotics
11%
Efficient Algorithm
10%
Scale Parameter
10%
Classification Performance
10%
Underlying Population
10%
Binary Classification
10%
Lower Bounds
10%
Probability
10%
Functions
10%
Classifier
10%
Computing
7%
