robust-statistics

📊 Computation and processing of models' parameters

Tidy data frames and expressions with statistical summaries 📜

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

Robust freeform surface modeling from user 2d sketches.

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

Robust statistics in Python

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."

Robustats is a Python library for high-performance computation of robust statistical estimators.

Direct and robust methods for outlier detection in linear regression

A small collection of lesser-known statistical measures

Solve many kinds of least-squares and matrix-recovery problems

Delicatessen: the Python one-stop sandwich (variance) shop 🥪

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Robust Gaussian Process with Iterative Trimming

Defending Against Backdoor Attacks Using Robust Covariance Estimation

Companion package to the 2nd edition of the book "Robust Statistics: Theory and Methods"

Robust estimations from distribution structures: Mean.

Robust estimations from distribution structures: Invariant moments.

Robust transfer function analysis code for magnetotellurics