worked R examples

🚫 ↩️ A document that introduces Bayesian data analysis.

Noisy network measurement with stan

Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan

Spatial capture-recapture models in Stan

The repository contains the materials about bayesian statistics using R and Stan.

Stan language support for Visual Studio Code

A workshop on using Stan with R.

Materials for Bayes/Stan workshop using CmdStanR

An efficient Python implementation for Bayesian inference in binary stars based on Stan.

The implementation of natural cubic spline models in STAN

This Github repository includes statistical programs and data used to construct estimates of state firearm injury hospitalizations described in “Inpatient Hospitalizations for Firearm Injury: Estimating State-Level Rates from 2000 to 2016” by Rosanna Smart, Samuel Peterson, Terry L. Schell, Rose Kerber, and Andrew R. Morral. RAND Corporation: Sa…

A repository for showcasing my knowledge of the Stan programming language, and continuing to learn the language.

MCMC inference on Switching Linear Dynamical Systems, using Stan and JAGS

Epidemics (2020)

The objective of this project is to quantify the impact of COVID-19 pandemic on non-motorized (pedestrians + bikes) activities in cities. For details, please see my personal profile in Google Scholar:

R code for specifying and fitting Diagnostic Classification Modeling via Stan

🏞️🟦️ℹ️ A project written entirely in the Stan programming language. Named after Stan Marsh from the South Park media series.

The Stan Programming language IDE submodule for SNU Programming Tools (2D Mode)

Short exploration of the rise (and fall) of hype-laden buzzwords announcing the impending domination of the world by sentient computers