Keywords: کاهش ابعاد کامل; 00-01; 99-00; Heteroscedasticity; Kernel quantile regression; Quantile-slicing estimation; Sufficient dimension reduction;
مقالات ISI کاهش ابعاد کامل (ترجمه نشده)
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Keywords: کاهش ابعاد کامل; Dual central subspaces; Hellinger integral; Sufficient dimension reduction; Variable selection;
Keywords: کاهش ابعاد کامل; Envelope model; Functional data; Functional inverse regression; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; 62G08; 62H05; Fusing; Inverse regression; Sliced average variance estimation; Sufficient dimension reduction;
A link-free approach for testing common indices for three or more multi-index models
Keywords: کاهش ابعاد کامل; 62H86; 62H15; 62H25; 62G08; Sufficient dimension reduction; Multiple populations; Common principal component analysis; Multi-index model;
Keywords: کاهش ابعاد کامل; Max-SCAD penalty; Principal logistic regression; Sparse sufficient dimension reduction; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; Canonical correlation analysis; Canonical functions; Kernel dimension reduction; Krylov subspace; Sufficient dimension reduction; Reproducing kernel Hilbert space;
Keywords: کاهش ابعاد کامل; Robust estimation; Shrinkage estimation; Sufficient dimension reduction; Variable selection;
Keywords: کاهش ابعاد کامل; Central subspace; Sufficient dimension reduction; Principal component regression; Partial least squares
Keywords: کاهش ابعاد کامل; Adaptive LASSO; Central subspace; Linear surrogate variable; Sufficient dimension reduction; Variable selection
Keywords: کاهش ابعاد کامل; 62F12; 62G05; 62G08; 62H12Conditional variance; Double robustness; Efficient estimation; Regression; Sufficient dimension reduction
Keywords: کاهش ابعاد کامل; Uncertainty quantification; High dimensionality; Sufficient dimension reduction; Sliced inverse regression; Polynomial chaos; Control variates;
Keywords: کاهش ابعاد کامل; Model-based reinforcement learning; Transition model estimation; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; primary; 62G08; secondary; 62H05; Ï2 test; Minimum discrepancy approach; Singularity; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; Central subspace; Continuum regression; Inverse regression; Sufficient dimension reduction
Keywords: کاهش ابعاد کامل; Inverse moments; Inverse regression; Sequential tests; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; 62H86; 62H15; 62H25; 62G08Multi-index models; Sufficient dimension reduction; Sliced inverse regression; Sliced average variance estimation; Directional regression
Keywords: کاهش ابعاد کامل; Central mean subspace; Multivariate response; Profile least squares; Semiparametric efficiency; Sufficient dimension reduction
Keywords: کاهش ابعاد کامل; primary, 62G08; secondary, 62H05Large pp small nn; Multivariate regression; Seed matrix; Sufficient dimension reduction
Keywords: کاهش ابعاد کامل; 62G99; 62H99; 62N01; Semiparametric transformation; Gap time; Recurrent event; High-dimensional covariates; Sliced regression; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; High dimensionality; Linear discriminant analysis; Optimal scoring; Sliced inverse regression; Sparsity; Sufficient dimension reduction;
Keywords: کاهش ابعاد کامل; Heteroscedasticity testing; Model-adaption; Sufficient dimension reduction
Generalized principal Hessian directions for mixture multivariate skew elliptical distributions
Keywords: کاهش ابعاد کامل; 62H99; Generalized principal Hessian directions; Principal Hessian directions; Skew elliptical distributions; Stein's lemma; Sufficient dimension reduction;
Variable selection through adaptive MAVE
Keywords: کاهش ابعاد کامل; Adaptive estimation; Sufficient dimension reduction; Shrinkage estimation; Variable selection;
Sufficient dimension reduction using Hilbert-Schmidt independence criterion
Keywords: کاهش ابعاد کامل; Bootstrap; Central subspace; Hilbert-Schmidt independence criterion; Multiple-index models; Sufficient dimension reduction;
Partial projective resampling method for dimension reduction: With applications to partially linear models
Keywords: کاهش ابعاد کامل; Partial central subspace; Partially linear models; Projective resampling; Sufficient dimension reduction;
Robust variable selection through MAVE
Keywords: کاهش ابعاد کامل; Sufficient dimension reduction; MAVE; Shrinkage estimation; Robust estimation
Predictive power of principal components for single-index model and sufficient dimension reduction
Keywords: کاهش ابعاد کامل; 62A01; 62B10; 62H99; 62G08Permutation invariance; Principal component analysis; Rotation invariance; Single-index model; Sufficient dimension reduction
Direction estimation in single-index models via distance covariance
Keywords: کاهش ابعاد کامل; 62G08; 62G20; 62H20Brownian distance covariance; Central subspace; Distance covariance; Single-index model; Sufficient dimension reduction
Optimal transformation: A new approach for covering the central subspace
Keywords: کاهش ابعاد کامل; primary; 62G08; secondary; 62H11; 62H05; Inverse regression; Slicing estimation; Sufficient dimension reduction; Central subspace;
A note on statistical inference for differences of covariances
Keywords: کاهش ابعاد کامل; primary; 62G08; secondary; 62H05; Dimension reduction; Sufficient dimension reduction; Central subspace; Differences of covariances;
On the consistency of coordinate-independent sparse estimation with BIC
Keywords: کاهش ابعاد کامل; 62H20; 62J07BIC; Central subspace; Consistency; Coordinate-independent; Sufficient dimension reduction; Variable selection
On model-free conditional coordinate tests for regressions
Keywords: کاهش ابعاد کامل; 62H15; 62H25; 62H86Conditional coordinate test; Sufficient dimension reduction; Sliced inverse regression
Unified predictor hypothesis tests in sufficient dimension reduction: A bootstrap approach
Keywords: کاهش ابعاد کامل; primary; 62G08; secondary; 62H05; Bootstrapping; Predictor hypothesis tests; Sufficient dimension reduction; Vector correlation coefficient;
Estimation of inverse mean: An orthogonal series approach
Keywords: کاهش ابعاد کامل; Sufficient dimension reduction; Central subspace; Sliced inverse regression; Orthogonal series
An integral transform method for estimating the central mean and central subspaces
Keywords: کاهش ابعاد کامل; 62G08; 62G20Average derivative estimate; Generalized multiple index model; Integral transform; Kernel density estimation; Sufficient dimension reduction
Successive direction extraction for estimating the central subspace in a multiple-index regression
Keywords: کاهش ابعاد کامل; primary, 62B05; secondary, 62H20Dimension reduction subspaces; Permutation test; Regression graphics; Sufficient dimension reduction
A note on sufficient dimension reduction
Keywords: کاهش ابعاد کامل; Sufficient dimension reduction; Slicing; Multivariate dimension reduction; Censoring regression
A robust inverse regression estimator
Keywords: کاهش ابعاد کامل; Central subspace; Inverse regression estimator; Sufficient dimension reduction
SVM decision boundary based discriminative subspace induction
Keywords: کاهش ابعاد کامل; Dimensionality reduction; Linear dimension reduction; Sufficient dimension reduction; Intrinsic discriminative subspace (IDS); Decision boundary analysis (DBA); Support vector machines (SVM); Classification; Regression;