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

This repository illustrates some work in using GLMs to price car insurance based on car insurance policy and claim data. It also features some systematic data exploration and the use of MonteCarlo simulation to investigate the effectiveness of the pricing policies we are using.

Home of the GLM-AED project - software to simulate aquatic systems

데이터 과학 모형

A C++/OpenGL/OpenAL based application built with CMake for Linux/Windows/macOS/WebAssembly

ARehab is a free software for physical rehab, aided by augmented reality technologies and user tracking systems, such as Microsoft Kinect v2.

🏙 🏛 Basic procedural generation of a 3D city with FreeGlut and OpenGL ✏

Location-adjusted Wald statistics

# 2 & # 3 homeworks in "Statistical Methods for Data Science" course at La Sapienza University of Rome: analysis of fMRI scans for sick vs non-sick brains

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

An interactive Shiny app to demonstrate the continuity in General Linear Models (GLM), created for Advanced Design and Data Analysis at the University of Melbourne.

Threejs/glm (C++)/pyglet/Unity examples for deep understanding of projection matrix (OpenGL)

This Git is part of the class of applied regression methods, examples, exercises, etc.

Regression class files, examples and comments

Experimental Lindenmayer System for Geometry Generation

A workshop Introducing R and GLMs at York University

H2O-3 Examples in R

Course website for UCLA Biostat 200C - 2023 Spring