A selective review of sufficient dimension reduction for multivariate response regression (original) (raw)

Dimension reduction and coefficient estimation in multivariate linear regression

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Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2007

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Canadian Journal of Statistics, 2001

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Journal of the American Statistical Association, 2009

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itdr: An R package of Integral Transformation Methods to Estimate the SDR Subspaces in Regression

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Dimension Reduction Using Inverse Regression and Nonparametric Factors

Aaron Smith

2008

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Conditional variance estimator for sufficient dimension reduction

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Sufficient dimension reduction with additional information

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Sufficient dimension reduction and prediction in regression: Asymptotic results

Liliana Forzani

Journal of Multivariate Analysis, 2019

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A New Covariance Estimator for Sufficient Dimension Reduction in High-Dimensional and Undersized Sample Problems

Dr. Kabir O P E Y E M I Olorede

2019

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Multivariate Reduced Rank Regression, Theory and Applications

Raja Velu

Journal of the American Statistical Association, 2000

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Asymptotic results for nonparametric regression estimators after sufficient dimension reduction estimation

Liliana Forzani

arXiv (Cornell University), 2023

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Data visualization and dimension reduction for metric-valued response regression

Abdul-Nasah Soale

arXiv (Cornell University), 2023

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A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates

Hua Liang

Electronic Journal of Statistics, 2012

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Annals of Statistics, 2009

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Estimating the structural dimension of regressions via parametric inverse regression

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Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2001

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The ensemble conditional variance estimator for sufficient dimension reduction

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Covariate Information Matrix for Sufficient Dimension Reduction

Debmalya Nandy

Journal of the American Statistical Association, 2019

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Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction

Aditi Jha

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Dimension reduction for censored regression data

Jane-ling Wang

The Annals of Statistics, 1999

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Dimension Reduction In A Semiparametric Regression Model With Errors In Covariates

Ching-Yun Wang

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Ensemble Conditional Variance Estimator for Sufficient Dimension Reduction

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arXiv (Cornell University), 2021

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Generalized reduced rank regression

Peter Reinhard Hansen

2002

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On the singular values of the reduced-rank multivariate response regression

Vladislav Kargin

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Local Dimensionality Reduction for Non-Parametric Regression

Stefan Schaal

Neural Processing Letters, 2009

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The population-sample decomposition approach to multivariate estimation methods

Bernard Van Praag

Applied Stochastic Models and Data Analysis, 1986

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Iterative application of dimension reduction methods

Luke Prendergast

Electronic Journal of Statistics, 2011

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Convex optimization methods for dimension reduction and coefficient estimation in multivariate linear regression

Renato Monteiro

Mathematical Programming, 2012

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A note on the choice of the number of slices in sliced inverse regression

Ursula Gather

2007

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On consistency and sparsity for sliced inverse regression in high dimensions

Zhigen Zhao

The Annals of Statistics, 2018

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Sufficient reductions in regressions with elliptically contoured inverse predictors

E. Bura

Journal of the American Statistical Association, 2014

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