On expectile-assisted inverse regression estimation for sufficient dimension reduction

Sparse SIR: Optimal rates and adaptive estimation

(2020) Kai Tan et al.   ANNALS OF STATISTICS

On post dimension reduction statistical inference

(2020) Kyongwon Kim et al.   ANNALS OF STATISTICS

A brief review of linear sufficient dimension reduction through optimization

(2020) Yuexiao Dong   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Principal quantile regression for sufficient dimension reduction with heteroscedasticity

(2018) Chong Wang et al.   Electronic Journal of Statistics

Quantile-slicing estimation for dimension reduction in regression

(2018) Hyungwoo Kim et al.   JOURNAL OF STATISTICAL PLANNING AND INFERENCE

Estimation of tail risk based on extreme expectiles

(2017) Abdelaati Daouia et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces

(2017) Yi Yang et al.   TECHNOMETRICS

Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation

(2016) Minjo Kim et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Groupwise Dimension Reduction via Envelope Method

(2015) Zifang Guo et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On efficient dimension reduction with respect to a statistical functional of interest

(2014) Wei Luo et al.   ANNALS OF STATISTICS

A sliced inverse regression approach for data stream

(2014) Marie Chavent et al.   COMPUTATIONAL STATISTICS

A new sliced inverse regression method for multivariate response

(2014) R. Coudret et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A general theory for nonlinear sufficient dimension reduction: Formulation and estimation

(2013) Kuang-Yao Lee et al.   ANNALS OF STATISTICS

Dimension reduction and predictor selection in semiparametric models

(2013) Z. Yu et al.   BIOMETRIKA

A Review on Dimension Reduction

(2013) Yanyuan Ma et al.   INTERNATIONAL STATISTICAL REVIEW

Principal support vector machines for linear and nonlinear sufficient dimension reduction

(2012) Bing Li et al.   ANNALS OF STATISTICS

Sufficient dimension reduction based on an ensemble of minimum average variance estimators

(2012) Xiangrong Yin et al.   ANNALS OF STATISTICS

A Semiparametric Approach to Dimension Reduction

(2012) Yanyuan Ma et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Coordinate-independent sparse sufficient dimension reduction and variable selection

(2010) Xin Chen et al.   ANNALS OF STATISTICS

Groupwise Dimension Reduction

(2010) Lexin Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A nonlinear multi-dimensional variable selection method for high dimensional data: Sparse MAVE

(2008) Qin Wang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Successive direction extraction for estimating the central subspace in a multiple-index regression

(2008) Xiangrong Yin et al.   JOURNAL OF MULTIVARIATE ANALYSIS

On a Projective Resampling Method for Dimension Reduction With Multivariate Responses

(2008) Bing Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION