Lévy's alpha-stable distribution for the Jax numerical framework
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Updated
May 28, 2024 - Jupyter Notebook
Lévy's alpha-stable distribution for the Jax numerical framework
A robust deterministic affine-equivariant algorithm for multivariate location and scatter - Supplemental R Code for Pokojovy & Jobe (2022) CSDA Paper
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.
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.
Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing
The ConfidenceEllipse package provides functions for computing the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset, at user-defined confidence level.
Simple multiverse analysis simulations, visualizations and inference techniques.
A robust deterministic affine-equivariant algorithm for multivariate location and scatter
Code of the paper The Robust Randomized Quasi Monte Carlo method, applications to integrating singular functions by E. Gobet M. Lerasle and D. Métivier
This repository provides a unified framework to perform Optimization experiments across Stochastic, Mini-Batch, Decentralized and Federated Setting.
An Econometric Analysis of North Carolina Crime Data from 1987
Clustering algorithms, validations and interpretations with some robust statistic advanced topics. Real case applications. My R scripts to solve some university exams ;) - Work in progress
RStudio project utilizing various statistical methods to replicate and diagnose the findings of Appel and Loyle from their study on post-conflict justice and foreign direct investment.
Bazı konum kestiricileri hesaplanmıştır.
UC Berkeley STAT230A Spring 2022 final project - Replication of Michalopoulos: The Origins of Ethnolinguistic Diversity
Robust statistical methods for multivariate data
This is a fork of cran/MASS with a modified rlm function that can handle complex valued data.
An R package containing tools for linear fitting of complex variables. Includes ordinary least squares and M-estimator robust functions.
Project for the Nonparametric Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
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