Local dimensionality reduction (original) (raw)

Local dimensionality reduction for non-parametric regression

Stefan Schaal

2009

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Principal Fitted Components for Dimension Reduction in Regression

Liliana Forzani

2009

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Localized regression on principal manifolds

Jochen Einbeck

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Challenging the curse of dimensionality in multivariate local linear regression

Jochen Einbeck

Computational Statistics, 2013

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

Aditi Jha

2021

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Dimension estimation in sufficient dimension reduction: A unifying approach

Efstathia Bura

Journal of Multivariate Analysis, 2011

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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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Dimensionality reduction approach to multivariate prediction

Giovanni Merola

Canadian Journal of Statistics, 2001

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Least Squares Regression Principal Component Analysis

Hector Pascual Herrero

2020

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Sufficient dimension reduction and prediction in regression: Asymptotic results

Liliana Forzani

Journal of Multivariate Analysis, 2019

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Dimensionality reduction and generalization

alessandro verri

Proceedings of the 24th international conference on Machine learning - ICML '07, 2007

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A selective review of sufficient dimension reduction for multivariate response regression

Abdul-Nasah Soale

2022

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A library for locally weighted projection regression

Stefan Schaal

2008

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Likelihood-Based Sufficient Dimension Reduction

Liliana Forzani

Journal of the American Statistical Association, 2009

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Dimensionality reduction methods

Pietro Amenta

Metodološki zvezki, 2005

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Principal components analysis: From global to local

Chris Brunsdon

2010

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Kernel dimension reduction in regression

Kenji Fukumizu

Annals of Statistics, 2009

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Nonlinear Regression Estimation Using Subset-Based Kernel Principal Components

Degui Li

Statistica Sinica

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Selection of variables and dimension reduction in high-dimensional non-parametric regression

K. Bertin

Electronic Journal of Statistics, 2008

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Smoothed functional average variance estimation for dimension reduction

Carlos Ogouyandjou

arXiv: Statistics Theory, 2018

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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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Predictive power of principal components for single-index model and sufficient dimension reduction

Andreas Artemiou

Journal of Multivariate Analysis, 2013

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MWPCR: Multiscale Weighted Principal Component Regression for High-Dimensional Prediction

Hongtu Zhu

Journal of the American Statistical Association, 2017

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Factor regression for dimensionality reduction and data integration techniques with applications to cancer data

Alejandra Pacheco

2018

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Dimension reduction in spatial regression with kernel SAVE method

Carlos Ogouyandjou

arXiv: Statistics Theory, 2019

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Local Linear Functional Regression Based on Weighted Distance-based Regression

Eva Boj

Contributions to Statistics, 2008

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Local dimensionality reduction for locally weighted learning

Stefan Schaal

1997

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On sufficient dimension reduction via principal asymmetric least squares

Abdul-Nasah Soale

Journal of Nonparametric Statistics

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Weighted locally linear embedding for dimension reduction

Abdullah Al Mamun

Pattern Recognition, 2009

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