https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression

Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression
https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression

linear-regression machine-learning numpy pandas python regression regression-analysis statistics

Last synced: 3 months ago
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Implementation for the paper titled: Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

• Host: GitHub
• URL: https://github.com/albert-2002/robust-penalized-empirical-likelihood-estimation-method-for-linear-regression
• Owner: Albert-2002
• Created: 2025-02-17T18:33:50.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-20T19:04:36.000Z (over 1 year ago)
• Last Synced: 2025-02-20T20:22:10.030Z (over 1 year ago)
• Topics: linear-regression, machine-learning, numpy, pandas, python, regression, regression-analysis, statistics
• Homepage:
• Size: 1000 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Robust Penalized Empirical Likelihood Estimation Method for Linear Regression

Notes and Implementations for the research paper titled: *Robust Penalized Empirical Likelihood Estimation Method for Linear Regression.*