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Concordance-based estimation approaches for the optimal sufficient dimension reduction score
Shao Hsuan Wang
, Chin Tsang Chiang
Graduate Institute of Statistics
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Dive into the research topics of 'Concordance-based estimation approaches for the optimal sufficient dimension reduction score'. Together they form a unique fingerprint.
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Mathematics
Asymptotic Normality
100%
Bayesian Information Criterion
100%
Covariate
100%
Empirical Illustration
100%
Estimation Approach
100%
Model Formulation
100%
Optimality
100%
Outer Product
100%
Polynomial
100%
Probability Function
100%
Keyphrases
Asymptotic Normality
20%
Central Subspace
40%
Computational Efficiency
20%
Computational Procedures
20%
Concordance Index
40%
Concordance Probability
20%
Dimensionality Reduction
20%
Estimation Approaches
100%
Estimation Criteria
20%
Extended Bayesian Information Criterion
20%
Gradient Estimation
20%
Index Representation
20%
Model Formulation
20%
Multivariate Polynomials
20%
Number of Parameters
20%
Outer Product of Gradients
20%
Polynomial Transformation
20%
Probability Function
20%
Semiparametric Model
20%
Single Index
20%
Sufficient Dimension Reduction
100%