solving nonlinear scoring problems where linear regression doesn't fit well using techniques like Generalized Additive Models (GAM) and Support Vector Regression (SVR).

a database for pediatric drug safety signals

Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.

This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.

Negative Binomial Additive Model for RNASeq Data

Overview of statistical learning methods for classification

This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.

Nonparametric analysis of 2020 US presidential elections.

MSc_dissertation_code

Comprehensive statistical analysis of the Adult Census Income Dataset, employing Z-tests, ANOVA, and Tukey's test for categorical data, alongside various modeling techniques such as logistic regression, stepwise selection, Lasso/Ridge Logistic Regression, and Generalized Additive Models (GAM).

Example machine learning implementation to predict the residual bending moment capacity of corroded reinforced concrete beams tested under monotonic three or four-point bending. Data is collected from 54 experimental programs available in the literature.

Rcpp package implementing automatic smoothing for multiple generalized additive models.

Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season, hour of the day, etc. can affect the rental behaviors. The core data set is related to the two-year historical log corresponding to years 2011 and 2012 from Capital Bikeshare system, W…

Proposing data-aware alternate hypothesis on the COVID-19 dataset

Machine learning model for forecasting short-term electricity demand in the UK.

This repository contains the code required to perform the data processing and analysis associated with the manuscript submitted to Nature under the name "Maladaptive Genetic Assortment in Humans

Code and materials to reproduce graphics in "A generalized additive model approach to time-to-event analysis"