JOURNAL ARTICLE

Maximum Likelihood Ridge Regression

Robert L. Obenchain

Year: 2022 Journal:   arXiv (Cornell University) Vol: 5 (28)   Publisher: Cornell University

Abstract

My first paper exclusively about ridge regression was published in Technometrics and chosen for invited presentation at the 1975 Joint Statistical Meetings in Atlanta. Unfortunately, that paper contained a wide range of assorted details and results. Luckily, Gary McDonald's published discussion of that paper focused primarily on my use of Maximum Likelihood estimation under normal distribution-theory. In this review of some results from all four of my ridge publications between 1975 and 2022, I highlight the Maximum Likelihood findings that appear to be most important in practical application of shrinkage in regression.

Keywords:
Ridge Regression Statistics Geology Mathematics Paleontology

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Topics

Advanced X-ray and CT Imaging
Physical Sciences →  Engineering →  Biomedical Engineering
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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