Statsmodels: statistical modeling and econometrics in Python
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Updated
Jun 1, 2024 - Python
Statsmodels: statistical modeling and econometrics in Python
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 Estimation for Variables with Influential VALues in Survey
Robust estimations from distribution structures: Mean.
Robust estimations from distribution structures: Central moments.
Robust estimations from distribution structures: Invariant moments.
Certifiable Outlier-Robust Geometric Perception
Solve many kinds of least-squares and matrix-recovery problems
Stata package for robust stochastic frontier analysis
Code for "EPOS: Estimating 6D Pose of Objects with Symmetries", CVPR 2020.
Mean and Covariance Matrix Estimation under Heavy Tails
Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.
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.
(ICML 2020) Message Passing Least Squares Algorithm for Rotation Averaging
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/
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.
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
A Robust Dynamic Multi-Modal Data Fusion Algorithm
A new take on EEG sleep spindles detection exploiting a generative model (dynamic bayesian network) to characterize reoccurring dynamical regimes of single-channel EEG.
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