Ensemble Conditional Variance Estimator for Sufficient Dimension Reduction (original) (raw)

The ensemble conditional variance estimator for sufficient dimension reduction

Efstathia Bura

Electronic Journal of Statistics

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Conditional variance estimator for sufficient dimension reduction

Efstathia Bura

Bernoulli

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A selective review of sufficient dimension reduction for multivariate response regression

Abdul-Nasah Soale

2022

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Dimension estimation in sufficient dimension reduction: A unifying approach

Efstathia Bura

Journal of Multivariate Analysis, 2011

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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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Sufficient dimension reduction and prediction in regression: Asymptotic results

Liliana Forzani

Journal of Multivariate Analysis, 2019

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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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Sufficient Dimension Reduction using Conditional Variance Estimation and related concepts

Efstathia Bura

2021

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On expectile-assisted inverse regression estimation for sufficient dimension reduction

Abdul-Nasah Soale

Journal of Statistical Planning and Inference, 2021

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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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Likelihood-Based Sufficient Dimension Reduction

Liliana Forzani

Journal of the American Statistical Association, 2009

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Smoothed functional average variance estimation for dimension reduction

Carlos Ogouyandjou

arXiv: Statistics Theory, 2018

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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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Optimal sufficient dimension reduction in regressions with categorical predictors

Xuerong Wen

Journal of Statistical Planning and Inference, 2007

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Dimensionality reduction approach to multivariate prediction

Giovanni Merola

Canadian Journal of Statistics, 2001

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Kernel dimension reduction in regression

Kenji Fukumizu

Annals of Statistics, 2009

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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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Principal Fitted Components for Dimension Reduction in Regression

Liliana Forzani

2009

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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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Sufficient dimension reduction with additional information

Henry Horng-Shing Lu

Biostatistics (Oxford, England), 2015

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Covariate Information Matrix for Sufficient Dimension Reduction

Debmalya Nandy

Journal of the American Statistical Association, 2019

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Dimension Reduction In A Semiparametric Regression Model With Errors In Covariates

Ching-Yun Wang

The Annals of Statistics

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Dimension Reduction Using Inverse Regression and Nonparametric Factors

Aaron Smith

2008

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Local Dimensionality Reduction for Non-Parametric Regression

Stefan Schaal

Neural Processing Letters, 2009

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Sufficient Dimension Reduction for Average Causal Effect Estimation

Debo Cheng

arXiv (Cornell University), 2020

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Iterative application of dimension reduction methods

Luke Prendergast

Electronic Journal of Statistics, 2011

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Using linear smoothers to assess the structural dimension of regressions

Efstathia Bura

2001

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Sufficient dimension reduction for longitudinal data

Efstathia Bura

Statistica Sinica, 2015

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An Introduction to Dimension Reduction in Nonparametric Kernel Regression

Stéphane Girard

EAS Publications Series, 2014

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LDR : A Package for Likelihood-Based Sufficient Dimension Reduction

Liliana Forzani

Journal of Statistical Software, 2011

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Estimation of Linear Regression with the Dimensional Analysis Method

Luis Pérez-Domínguez

Mathematics

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GRID: A variable selection and structure discovery method for high dimensional nonparametric regression

Maria Lucia Parrella

The Annals of Statistics

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Sufficient dimension reduction for longitudinally measured predictors

Liliana Forzani

Statistics in Medicine, 2011

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