Optimal sufficient dimension reduction in regressions with categorical predictors (original) (raw)

A selective review of sufficient dimension reduction for multivariate response regression

Abdul-Nasah Soale

2022

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On consistency and sparsity for sliced inverse regression in high dimensions

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The Annals of Statistics, 2018

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Dimension estimation in sufficient dimension reduction: A unifying approach

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

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Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation

Debo Cheng

arXiv (Cornell University), 2023

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A new sliced inverse regression method for multivariate response

Stéphane Girard

Computational Statistics & Data Analysis, 2014

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On expectile-assisted inverse regression estimation for sufficient dimension reduction

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Journal of Statistical Planning and Inference, 2021

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Sufficient Dimension Reduction for Average Causal Effect Estimation

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arXiv (Cornell University), 2020

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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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Conditional variance estimator for sufficient dimension reduction

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Bernoulli

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Likelihood-Based Sufficient Dimension Reduction

Liliana Forzani

Journal of the American Statistical Association, 2009

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A projection-based consistent test incorporating dimension-reduction in partial linear models

Hua Liang

Statistica Sinica, 2021

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Sufficient reductions in regressions with elliptically contoured inverse predictors

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Journal of the American Statistical Association, 2014

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Sufficient dimension reduction and prediction in regression: Asymptotic results

Liliana Forzani

Journal of Multivariate Analysis, 2019

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Advanced topics in Sliced Inverse Regression

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Journal of Multivariate Analysis, 2021

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Dimension reduction and coefficient estimation in multivariate linear regression

Renato Monteiro

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

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Matching Using Sufficient Dimension Reduction for Causal Inference

Debo Cheng

Journal of Business & Economic Statistics, 2019

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Comparison of sliced inverse regression

Jérôme Saracco

2016

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Influence functions for sliced inverse regression

Luke Prendergast

Scandinavian journal of statistics, 2005

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Dimension Reduction Using Inverse Regression and Nonparametric Factors

Aaron Smith

2008

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Sufficient reductions in regression with mixed predictors

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2021

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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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Bias and variance reduction in estimation of model dimension

Wei-yin Loh

Proceedings of the American Mathematical Society, 1994

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Asymptotics of sliced inverse regression

Kai Ng

1993

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

Tharindu Priyan

2022

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Dimension reduction for censored regression data

Jane-ling Wang

The Annals of Statistics, 1999

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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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Dimension Reduction In A Semiparametric Regression Model With Errors In Covariates

Ching-Yun Wang

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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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On The Degrees of Freedom of Reduced-rank Estimators in Multivariate Regression

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Using linear smoothers to assess the structural dimension of regressions

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2001

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Estimating sufficient reductions of the predictors in abundant high-dimensional regressions

Liliana Forzani

The Annals of Statistics, 2012

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