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International statistical review, ISSN 0306-7734, 2013, Volume 81, Issue 1, pp. 134 - 150
Journal Article
Biometrika, ISSN 0006-3444, 8/2007, Volume 94, Issue 3, pp. 603 - 613
Journal Article
STATISTICA SINICA, ISSN 1017-0405, 10/2019, Volume 29, Issue 4, pp. 1751 - 1778
.... In this case, the standard sufficient dimension-reduction (SDR) methods cannot be applied directly to avoid the curse of dimensionality... 
sufficient dimension reduction | sliced inverse regression | Kernel imputation | missing at random | STATISTICS & PROBABILITY | ASYMPTOTICS | INFERENCE | missing predictors | PRINCIPAL HESSIAN DIRECTIONS
Journal Article
Statistica Sinica, ISSN 1017-0405, 4/2018, Volume 28, Issue 2, pp. 1009 - 1029
Sliced inverse regression is a valuable tool for dimension reduction. One can replace the predictor vector with a few linear combinations of its components without loss of information on the regression... 
Dimensionality reduction | Simulations | Linear regression | Correlation coefficients | Mathematical transformations | Ozone | General | Standard deviation | Indicator functions | Estimators | Estimation methods | Sufficient dimension reduction | Optimal scoring | Canonical correlation | STATISTICS & PROBABILITY | SLICED INVERSE REGRESSION | sufficient dimension reduction | optimal scoring
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 01/2014, Volume 109, Issue 505, pp. 359 - 370
This article proposes a novel approach to linear dimension reduction for regression using nonparametric estimation with positive-definite kernels or reproducing kernel Hilbert spaces (RKHSs... 
Sufficient dimension reduction | Reproducing kernel Hilbert space | Conditional independence | Kernel method | Dimensionality reduction | Datasets | Statistical variance | Dimensionality | Approximation | Theory and Methods | Linear regression | Mathematical vectors | Eigenvectors | Estimators | Estimation methods | STATISTICS & PROBABILITY | SLICED INVERSE REGRESSION | Nonparametric tests | Regression analysis | Kernel functions | Analysis
Journal Article
Journal Article
Journal of Computational and Graphical Statistics, ISSN 1061-8600, 01/2016, Volume 25, Issue 1, pp. 91 - 104
We introduce a novel approach to sufficient dimension-reduction problems using distance covariance... 
Sufficient dimension reduction | Brownian distance covariance | Central subspace | Distance covariance | VISUALIZATION | STATISTICS & PROBABILITY | SLICED INVERSE REGRESSION
Journal Article
The Annals of statistics, ISSN 0090-5364, 2005, Volume 33, Issue 4, pp. 1580 - 1616
Journal Article
by Fan, GL and Zhu, LP and Ma, SJ
STATISTICA SINICA, ISSN 1017-0405, 04/2019, Volume 29, Issue 2, pp. 917 - 937
In this paper we propose an efficient model-based sufficient dimension reduction method to detect interactions... 
Central mean subspace | STATISTICS & PROBABILITY | high-dimensionality | sufficient dimension reduction | interaction detection | dimension determination
Journal Article
Journal Article
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