Bayesian Data Analysis demos for R

Materials from Stan conferences

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

Inference case studies in knitr

Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.

『基礎からわかる時系列分析』（技術評論社，2018年）のサポートサイトです。

Bayesian Generalized Linear Models with Time-Varying Coefficients

A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan implementations. Uses d3.js for visualizations.

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Course Content for PSCI 3300 Political Science Research Methods

A batteries-included template for Bayesian data analysis projects

Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science

Estimate epidemiological quantities from repeated cross-sectional prevalence measurements

Simon Jackman's "BUGS Examples" translated into Stan

My notes on Bayesian statistics in Stan, etc (2018-)

Introduction to Stan, rstan & rstanarm

Spatiotemporal modeling of wildfire extremes

Example code for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)

Recipes for cognitive modeling using Stan [work in progress]

A 4 day course on Time Series Data Analysis using R