Projects in Awesome Lists tagged with robust-statistics
A curated list of projects in awesome lists tagged with robust-statistics .
https://github.com/easystats/parameters
:bar_chart: Computation and processing of models' parameters
beta bootstrap ci confidence-intervals data-reduction easystats fa feature-extraction feature-reduction hacktoberfest parameters pca pvalues r r-package regression-models robust-statistics standardize standardized-estimates statistical-models
Last synced: 14 May 2025
https://github.com/indrajeetpatil/statsexpressions
Tidy data frames and expressions with statistical summaries 📜
bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy
Last synced: 15 May 2025
https://github.com/IndrajeetPatil/statsExpressions
Tidy data frames and expressions with statistical summaries 📜
bayesian-inference bayesian-statistics contingency-table correlation effectsize meta-analysis parametric robust robust-statistics statistical-details statistical-tests tidy
Last synced: 13 Jul 2025
https://github.com/alcampopiano/hypothesize
Robust statistics in Python
confidence-intervals data-analysis hypothesis-testing null-hypothesis python r robust-statistics significance-testing statistics stats
Last synced: 09 Mar 2026
https://github.com/google/trimmed_match
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
abtest causal-inference experimental-design geo-experiments iroas robust-statistics
Last synced: 06 May 2025
https://github.com/filippobovo/robustats
Robustats is a Python library for high-performance computation of robust statistical estimators.
c fast high-performance medcouple mode numpy python-library python3 robust-estimators robust-statistics weighted-median
Last synced: 29 Jul 2025
https://github.com/jbytecode/LinRegOutliers
Direct and robust methods for outlier detection in linear regression
linear-regression outliers-detection robust-statistics
Last synced: 04 May 2025
https://github.com/jbytecode/linregoutliers
Direct and robust methods for outlier detection in linear regression
linear-regression outliers-detection robust-statistics
Last synced: 06 Apr 2026
https://github.com/glevv/obscure_stats
A small collection of lesser-known statistical measures
data-analysis data-analytics data-science descriptive-statistics math mathematical-functions mathematical-statistics numpy python robust-statistics scipy statistical-analysis statistics
Last synced: 25 Apr 2026
https://github.com/baggepinnen/totalleastsquares.jl
Solve many kinds of least-squares and matrix-recovery problems
errors-in-variables estimation imputation least-square-regression least-squares linear-regression matrix-completion missing-data missing-data-imputation nonnegative-matrix-factorization outlier-detection robust-estimation robust-pca robust-regresssion robust-statistics singular-value-decomposition total-least-square
Last synced: 26 Jan 2026
https://github.com/tlverse/causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
causal-inference causal-learning data-science generalized-linear-models heterogeneous-treatment-effects high-dimensional-inference interpretable-machine-learning machine-learning marginal-structural-models nonparametric-statistics projection r r-package relative-risk-regression robust-statistics semiparametric-estimation statistics targeted-learning treatment-effects working-model
Last synced: 19 Feb 2026
https://github.com/syrte/robustgp
Robust Gaussian Process with Iterative Trimming
gaussian-processes gpy itgp machine-learning nonlinear-regression outlier-detection python regression robust-regresssion robust-statistics
Last synced: 07 Aug 2025
https://github.com/nhejazi/txshift
:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
causal-effects causal-inference censored-data machine-learning robust-statistics statistics stochastic-interventions stochastic-treatment-regimes targeted-learning treatment-effects variable-importance
Last synced: 16 Aug 2025
https://github.com/microprediction/embarrassingly
robust optimization
optimization optimization-algorithms robust-optimization robust-statistics
Last synced: 23 Jan 2026
https://github.com/yaniv-shulman/rsklpr
Robust locally weighted multiple regression in Python
least-square-regression locally-weighted-regression machine-learning mit-license polynomial-regression python python3 regression robust-regression robust-statistics statistics
Last synced: 08 Apr 2026
https://github.com/nickk124/robust-outlier-rejection
Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.
outlier-detection outlier-rejection regression robust robust-statistics
Last synced: 12 Mar 2026
https://github.com/bschulz81/robustregression
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
cmake cpp forward-search gaussian-elimination least-squares levenberg-marquardt linear-algebra linear-regression machine-learning nonlinear-regression open-mp outlier-detection outlier-removal python3 ransac regression robust-regression robust-statistics s-estimator statistics
Last synced: 06 Apr 2026
https://github.com/jorenham/lmo
Trimmed L-moments and L-comoments for robust statistics.
fitting-distribution l-comoments l-moments lmo multivariate-statistics numpy probability-statistics python robust-optimization robust-statistics statistics tl-moments
Last synced: 16 Mar 2025
https://github.com/blind-contours/cvtreemle
:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
causal-effects causal-inference decision-trees exposure-mixtures machine-learning robust-statistics statistics targeted-learning variable-importance
Last synced: 26 Oct 2025
https://github.com/mamba413/room
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
heavy-tailed-distributions off-policy-evaluation offline-reinforcement-learning robust-statistics
Last synced: 10 Apr 2025
https://github.com/dmetivie/robustmeans.jl
Implement some Robust Mean Estimators
confidence-intervals julia julia-language robust robust-statistics statistics
Last synced: 05 Jan 2026
https://github.com/cran-task-views/robust
CRAN Task View: Robust Statistical Methods
cran r robust-statistics rstats task-views
Last synced: 11 Aug 2025
https://github.com/tjhunter/levy-stable-jax
Lévy's alpha-stable distribution for the Jax numerical framework
inference jax pymc robust-statistics statistical-models
Last synced: 03 Mar 2026
https://github.com/dmetivie/robust-randomized-quasi-monte-carlo-paper-code
Code of the paper The Robust Randomized Quasi Monte Carlo method, applications to integrating singular functions by E. Gobet M. Lerasle and D. Métivier
distributed-computing julia paper-with-code pluto-notebooks quasi-monte-carlo robust-statistics scrambling sge slurm
Last synced: 23 Jul 2025
https://github.com/andrewwango/femda
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
20newsgroup classification discriminant-analysis em-algorithm fashion-mnist linear-discriminant-analysis machine-learning quadratic-discriminant-analysis robust-estimation robust-statistics
Last synced: 28 Mar 2025
https://github.com/chirindaopensource/crypto_currencies_interest_rates
End-to-end Python Implementation of Bergault et al.'s (2025) methodology for constructing yield curves without traditional bonds. Implements inverse options replication, robust statistical methods, and closed-form analytical solutions for risk-neutral interest rate discovery in digital asset markets.
academic-research arbitrage-pricing cryptocurrency data-science defi derivatives econometrics financial-engineering interest-rates jupyter-notebook mathematical-finance numpy options-pricing pandas python quantitative-finance ransac risk-management robust-statistics yield-curve
Last synced: 04 May 2026
https://github.com/anishacharya/optimization-mavericks
This repository provides a unified framework to perform Optimization experiments across Stochastic, Mini-Batch, Decentralized and Federated Setting.
federated-learning optimization-algorithms robust-optimization robust-statistics sgd
Last synced: 04 Mar 2026
https://github.com/mothnik/robust_fourier
Noise- and Outlier-Robust Fourier Transform with Hermite Functions with NumPy and Numba
chebyshev-polynomials fourier-transform hermite-functions hermite-polynomials least-square-regression logsumexp numba numpy python robust-statistics
Last synced: 04 Jan 2026
https://github.com/andrecamatta/pq_mincvar
Min-CVaR Portfolio Optimization with Robust Estimators (LW, Huber, Tyler) - Backtest de 36 estratégias em 16 ETFs (15 anos)
backtesting cvar julia min-variance portfolio-optimization quantitative-finance risk-management robust-statistics
Last synced: 09 Oct 2025
https://github.com/spkaluzny/robustarima
Fit a linear regression model with ARIMA errors using a filtered tau-estimate
arima cran-r robust-statistics time-series-analysis
Last synced: 22 Feb 2026