There are 0 repository under robust-statistics topic.
:bar_chart: 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.
:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
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
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: Invariant moments.
Robust estimations from distribution structures: Mean.
:package: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders
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/
Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions :pill:
Robust particle filter based on dynamic averaging of multiple noise models
Robust estimations from distribution structures: Central moments.
robust optimization
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
Robust locally weighted multiple regression in Python
Robust Sure Independence Screening using the Minimum Density Power Divergence Estimators
Robust Chauvenet Outlier Rejection: RCR is advanced, but easy to use, outlier rejection.
Robust transfer function analysis code for magnetotellurics
a c++ library with statistical machine learning algorithms for linear and non-linear robust regression that can be used with python.
Code for the paper E. Raninen and E. Ollila, "Bias Adjusted Sign Covariance Matrix," in IEEE Signal Processing Letters, vol. 29, pp. 339-343, 2022, doi: 10.1109/LSP.2021.3134940.
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation