robust-regresssion
Here are 29 public repositories matching this topic...
ML Coursework focused on solving Computational Finance and Risk Assessment models
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Nov 22, 2017 - 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
Scikit learn compatible constrained and robust polynomial regression in Python
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Mar 27, 2025 - Python
Robust Gaussian Process with Iterative Trimming
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Jun 13, 2021 - Jupyter Notebook
Solve many kinds of least-squares and matrix-recovery problems
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Jun 24, 2026 - Julia
Robust estimations from distribution structures: Central moments.
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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
R Package implementing the Penalized Elastic Net S- and MM-Estimator for Linear Regression
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Feb 13, 2026 - C++
Robust estimations from distribution structures: Mean.
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Mar 29, 2024 - R
robust Lasso for heavy-tailed error and outlier
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Dec 5, 2025 - R
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
Generalized fiducial inference for low-dimensional robust linear regression.
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Mar 15, 2021 - 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
Regression algorithm implementaion from scratch with python (OLS, LASSO, Ridge, robust regression)
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Dec 23, 2024 - Python
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
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
Code accompanying the paper "Globally Optimal Learning for Structured Elliptical Losses", published at NeurIPS 2019
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Jan 4, 2020 - Python
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
In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method where the construction of sample distribution of given statistics occurring through resampling the same observed sample.
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Nov 27, 2019 - R
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