Partial least squares prediction in high-dimensional regression

JOURNAL ARTICLE published 1 April 2019 in The Annals of Statistics

Authors: R. Dennis Cook | Liliana Forzani

Least-Squares Estimates Using Ordered Observations

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On maximum residual block and two-step Gauss–Seidel algorithms for linear least-squares problems

JOURNAL ARTICLE published June 2021 in Calcolo

Research funded by National Natural Science Foundation of China (11371243) | Key Program of Natural Science of Changzhou College of Information Technology (CXKZ201908Z)

Authors: Yong Liu | Xiang-Long Jiang | Chuan-Qing Gu

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On the Asymptotic Properties of Least-Squares Estimators in Autoregression

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Some sharp performance bounds for least squares regression with L1 regularization

JOURNAL ARTICLE published 1 October 2009 in The Annals of Statistics

Authors: Tong Zhang

Maximum entropy method for sign-altering functions

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Authors: A Balandin | A Kaneko

Asymptotics for Least Squares Cross-Validation Bandwidths in Nonsmooth Cases

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BOOK CHAPTER published February 2011 in Series on Advances in Mathematics for Applied Sciences

Nonnegative least-squares image deblurring: improved gradient projection approaches

JOURNAL ARTICLE published 1 February 2010 in Inverse Problems

Authors: F Benvenuto | R Zanella | L Zanni | M Bertero

2 Ill-posed Inverse Problem Solution and the Maximum Entropy Principle

BOOK CHAPTER published 31 December 2017 in Non-Extensive Entropy Econometrics for Low Frequency Series

Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems

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Authors: Ali Mohammad-Djafari