robust-regresssion
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Solve many kinds of least-squares and matrix-recovery problems
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Jun 24, 2026 - Julia
Robust Gaussian Process with Iterative Trimming
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Jun 13, 2021 - Jupyter Notebook
MATLAB implementation of "Provable Dynamic Robust PCA or Robust Subspace tracking", IEEE Transactions on Information Theory, 2019.
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May 27, 2020 - MATLAB
Robust estimations from distribution structures: Mean.
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Mar 29, 2024 - R
{gslnls}: GSL multi-start nonlinear least-squares fitting in R
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Sep 28, 2025 - R
This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/
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Jun 29, 2022 - C++
Scikit learn compatible constrained and robust polynomial regression in Python
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Mar 27, 2025 - Python
Robust estimations from distribution structures: Central moments.
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Mar 29, 2024 - R
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
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Mar 1, 2019 - Python
R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression
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Feb 13, 2026 - C++
ML Coursework focused on solving Computational Finance and Risk Assessment models
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Nov 22, 2017 - Jupyter Notebook
Regression algorithm implementaion from scratch with python (OLS, LASSO, Ridge, robust regression)
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Dec 23, 2024 - Python
Python implementation of RANSAC algorithm
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Dec 2, 2021 - Jupyter Notebook
This‬†project‬†was carried out as part of fulfilment of the B.Sc. (Hons.) Statistics degree at Sister Nivedita University which explores‬†the‬†application‬†of‬†various‬†linear‬†regression‬†techniques‬†for‬†predicting‬ †wine‬†quality
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Sep 5, 2025 - Jupyter Notebook
A robust regression study using the Density Power Divergence estimator for multiple linear regression, with simulation experiments, efficiency analysis, outlier detection, and real-data applications implemented in R.
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Aug 16, 2026 - R
robust Lasso for heavy-tailed error and outlier
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Dec 5, 2025 - R
Regression for Boston Housing price prediction: Linear, Multiple, Robust, OLS, Regularization (Ridge-l1 norm, LASSO-l2 norm, ElasticNet)
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Mar 4, 2019 - Jupyter Notebook
Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019
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Jan 4, 2020 - Python
Applied analysis on the Bayesian student-t "Robust" regression model with Jeffrey's prior. Compared its model performance and robustness of posterior distributions with the Gaussian model when outliers are present.
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Dec 7, 2018 - R
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