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.
sparsely-encoded poisson matrix factorization
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal Mechanisms
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
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