Luca Insolia's repositories
RitSpls.jl
Robustness-inducing transformations for sparse partial least squares
honey_bee_loss_US_scirep
Materials and methods to replicate the findings presented in "Honey bee colony loss linked to parasites, pesticides and extreme weather across the United States" authored by Luca Insolia, Roberto Molinari, Stephanie R. Rogers, Geoffrey R. Williams, Francesca Chiaromonte, and Martina Calovi. Scientific Reports volume 12, Article number: 20787 (2022)
FSDA
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.
SFSOD_logreg
MIProb: Methods for “Robust Variable Selection with Optimality Guarantees for High-Dimensional Logistic Regression” (by L. Insolia, A. Kenney, M. Calovi and F. Chiaromonte)
hugo
The world’s fastest framework for building websites.
TSL
Group project for Topics in Statistical Learning
enetLTS
:exclamation: This is a read-only mirror of the CRAN R package repository. enetLTS — Robust and Sparse Methods for High Dimensional Linear and Logistic Regression