A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations

The ridge regression estimator is a commonly used procedure to deal with multicollinear data. This paper proposes an estimation procedure for high-dimensional multicollinear data that can be alternatively used. This usage gives a continuous estimate, including the ridge estimator as a particular cas...

Full description

Bibliographic Details
Main Authors: Mohammad Arashi, Mina Norouzirad, Mahdi Roozbeh, Naushad Mamode Khan
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/23/3057
_version_ 1797507462741360640
author Mohammad Arashi
Mina Norouzirad
Mahdi Roozbeh
Naushad Mamode Khan
author_facet Mohammad Arashi
Mina Norouzirad
Mahdi Roozbeh
Naushad Mamode Khan
author_sort Mohammad Arashi
collection DOAJ
description The ridge regression estimator is a commonly used procedure to deal with multicollinear data. This paper proposes an estimation procedure for high-dimensional multicollinear data that can be alternatively used. This usage gives a continuous estimate, including the ridge estimator as a particular case. We study its asymptotic performance for the growing dimension, i.e., <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo>→</mo><mo>∞</mo></mrow></semantics></math></inline-formula> when <i>n</i> is fixed. Under some mild regularity conditions, we prove the proposed estimator’s consistency and derive its asymptotic properties. Some Monte Carlo simulation experiments are executed in their performance, and the implementation is considered to analyze a high-dimensional genetic dataset.
first_indexed 2024-03-10T04:48:50Z
format Article
id doaj.art-e112f10a0cc248deb93e6478f0a0e09d
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-03-10T04:48:50Z
publishDate 2021-11-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-e112f10a0cc248deb93e6478f0a0e09d2023-11-23T02:45:23ZengMDPI AGMathematics2227-73902021-11-01923305710.3390/math9233057A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear SituationsMohammad Arashi0Mina Norouzirad1Mahdi Roozbeh2Naushad Mamode Khan3Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad P.O. Box 9177948974, IranDepartment of Statistics, Faculty of Mathematical Sciences, Shahrood University of Technology, Shahrood P.O. Box 3619995181, IranDepartment of Statistics, Faculty of Mathematics, Statistics and Computer Sciences, Semnan University, Semnan P.O. Box 3514799422, IranDepartment of Economics and Statistics, University of Mauritius, Réduit 80837, MauritiusThe ridge regression estimator is a commonly used procedure to deal with multicollinear data. This paper proposes an estimation procedure for high-dimensional multicollinear data that can be alternatively used. This usage gives a continuous estimate, including the ridge estimator as a particular case. We study its asymptotic performance for the growing dimension, i.e., <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo>→</mo><mo>∞</mo></mrow></semantics></math></inline-formula> when <i>n</i> is fixed. Under some mild regularity conditions, we prove the proposed estimator’s consistency and derive its asymptotic properties. Some Monte Carlo simulation experiments are executed in their performance, and the implementation is considered to analyze a high-dimensional genetic dataset.https://www.mdpi.com/2227-7390/9/23/3057asymptotichigh–dimensionLiu estimatormulticollinearridge estimator
spellingShingle Mohammad Arashi
Mina Norouzirad
Mahdi Roozbeh
Naushad Mamode Khan
A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations
Mathematics
asymptotic
high–dimension
Liu estimator
multicollinear
ridge estimator
title A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations
title_full A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations
title_fullStr A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations
title_full_unstemmed A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations
title_short A High-Dimensional Counterpart for the Ridge Estimator in Multicollinear Situations
title_sort high dimensional counterpart for the ridge estimator in multicollinear situations
topic asymptotic
high–dimension
Liu estimator
multicollinear
ridge estimator
url https://www.mdpi.com/2227-7390/9/23/3057
work_keys_str_mv AT mohammadarashi ahighdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT minanorouzirad ahighdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT mahdiroozbeh ahighdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT naushadmamodekhan ahighdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT mohammadarashi highdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT minanorouzirad highdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT mahdiroozbeh highdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations
AT naushadmamodekhan highdimensionalcounterpartfortheridgeestimatorinmulticollinearsituations