Multi-core BUGS for fast Bayesian inference of large hierarchical models

Research Module in Econometrics and Statistics at Univ. Bonn (2019/2020) on Bayesian Hierarchical Models.

Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms

sparsely-encoded poisson matrix factorization

Includes the R code and the supporting materials for our paper "Using machine learning to identify nontraditional spatial dependence in occupancy data"

Code and data companion for CBB 2024 Paper: Creating Something Different: Similarity, Contrast, and Representativeness in Categorization

OpenBUGS code and R functions to implement Bayesian hierarchical models for leveraging animal data in phase I oncology trials.

R package for Multi-Subject Multiscale Analysis of fMRI Data, or Other Multiscale Data

We developed a Bayesian Hierarchical model to assess emissions of CO2 for different food types. This project investigates different prior choices that allow to take into account different variances across groups

This project focuses on modelling the attacking and defensive strength of teams in the Portuguese First League of Football, along with the impact of home advantage.