Bayesian Data Analysis demos for R

The bookdown version lives here: https://bookdown.org/content/3890

Material for a workshop on Bayesian stats with R

Bayesian Inference of State Space Models

A list of Python-based MCMC & ABC packages

Bayesian Non-Parametric Spatio-Temporal Models for fMRI data

Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "

Some collection of codes that are used in data mining and data science related fields, developed by me

Material for a workshop on Bayesian analysis of capture-recapture data with hidden Markov models and Nimble

Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England (peer-reviewed)

Set of Hidden Markov Models to recognize words communicated using the American Sign Language

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

Course Content for PSCI 3300 Political Science Research Methods

Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.

Introduction to rstanarm

User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.

Models and Utility Functions for Bayesian Analyses of Radiocarbon Dates with NIMBLE

BayesCOOP is a scalable Bayesian framework for supervised multimodal data integration. It combines the Bayesian bootstrap with a jittered group spike-and-slab Laplace prior to enable cooperative learning across heterogeneous data modalities, with principled uncertainty quantification.

Learning Bayesian Statistics, the baby way