Mathematics
Approximates
12%
Asymptotic Normality
100%
Asymptotic Property
12%
Asymptotic Property of Estimators
38%
Asymptotic Variance
12%
Bayesian Information Criterion
38%
Bias Reduction
38%
Characteristic Curve
12%
Conditional Distribution
38%
Confidence Interval
12%
Confidence Region
12%
Covariate
96%
Edgeworth Expansion
38%
Empirical Illustration
38%
Estimation Approach
38%
Graphical Representation
38%
Higher Dimensions
59%
Image Data
12%
Inference Procedure
38%
Interval Estimator
12%
Likelihood Approach
38%
Matrix (Mathematics)
77%
Model Formulation
77%
Nearest Neighbor
25%
Nonparametric Estimation
38%
Numerical Analysis
12%
Occurrence Rate
38%
Optimality
38%
Outer Product
38%
Outlier
38%
Parametric Estimator
12%
Perturbation Theory
19%
Polynomial
38%
Principal Component Analysis
96%
Probability Distribution
19%
Probability Function
38%
Probability of Coverage
12%
Probability Theory
29%
Random Vector
19%
Reduction Method
12%
Regression Model
19%
Remainder Term
12%
Sampling Distribution
12%
Scan Statistics
12%
Spearman's Coefficient
38%
Survival Data
77%
Survival Function
38%
Truncation
19%
Type Estimator
38%
Variance Reduction
38%
Keyphrases
Accuracy Measure
38%
Asymptotic Normality
72%
Automatic Bandwidth
19%
Bandwidth Selection
32%
Bias Reduction
38%
Censoring Rate
25%
Contrastive Principal Component Analysis
19%
Correlation Estimation
38%
Cryogenic Electron Microscopy
43%
Data Bandwidth
19%
Data Matrix
58%
Dimensionality Reduction
28%
DNA Palindrome
38%
Dynamic Reconstruction
19%
Edgeworth Expansion
38%
Estimation Approaches
38%
Finite Sample Bias
32%
Frequency of Occurrence
38%
Full Conditional Distribution
38%
General Applicability
19%
Geometric Algorithms
19%
Graph Representation
38%
Hazard Regression
64%
High Dimension
21%
High Dimension Low Sample Size
38%
Index Coefficients
32%
Left-truncated
38%
Matrix-based
58%
Model Formulation
27%
Noisy Image
23%
Nonparametric
38%
Nonparametric Estimation
38%
Palindrome
38%
Partial Rank Correlation Coefficient
38%
Principal Coordinate Analysis (PCoA)
46%
Proposed Methodology
25%
Random Weighted Bootstrap
25%
Random Weighting
38%
Ratio Set
29%
Regression Model
25%
Right-censored Survival Data
38%
Satisfactory Performance
19%
Single Index
59%
Sufficient Dimension Reduction
38%
Survival Data
25%
Survival Function
19%
Survival Process
32%
Time-dependent AUC
38%
Time-dependent Covariates
19%
Variance Reduction
38%
