Pinned Repositories
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
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.
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)
hugo
The world’s fastest framework for building websites.
magma
RitSpls.jl
Robustness-inducing transformations for sparse partial least squares
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)
SFSOD_MIP
Methods for “Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees” (by L. Insolia, A. Kenney, F. Chiaromonte and G. Felici)
TSL
Group project for Topics in Statistical Learning
VIOM_MSOM
LucaIns's Repositories
LucaIns/RitSpls.jl
Robustness-inducing transformations for sparse partial least squares
LucaIns/SFSOD_MIP
Methods for “Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees” (by L. Insolia, A. Kenney, F. Chiaromonte and G. Felici)
LucaIns/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
LucaIns/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.
LucaIns/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)
LucaIns/hugo
The world’s fastest framework for building websites.
LucaIns/magma
LucaIns/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)
LucaIns/TSL
Group project for Topics in Statistical Learning
LucaIns/VIOM_MSOM
LucaIns/website