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Projects in Awesome Lists tagged with robust-statistics

A curated list of projects in awesome lists tagged with robust-statistics .

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/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/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/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/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