Case studies on model assessment, model selection and inference after model selection

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

Code and simulations using biologically annotated neural networks

This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

Predict prices of diamond data in ggplot2

In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression

Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.

STAT 2131 (Applied Statistical Method 1) Course Final Project at Pitt in 2023 Fall.

Code and Simulations using Biologically Annotated Neural Networks (BANNs)