Study the risk of default on a debt of a loan based on customer's features using R and Stan.

Analysis of MLB pitchers and what factors influence a pitcher's FIP. Bayesian Ridge Regression is used to determine which covariates are most important. The model is fit using both hand written MCMC algorithms and Stan.

This repository presents different IRT Bayesian models that combine continuous and binary outcomes.

This repository includes the codes used for the study: "Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: the role of socioeconomic status, environment and temperature", by Laís P Freitas, Alexandra Schmidt, William Cossich, Oswaldo G. Cruz and Marilia S. Carvalho.

Talk on Bayesian modeling, model comparison, and presentation of results with R for Friendly Tech Space folks

Code to reproduce results of: Smeele, Simeon Q. "On the use of relative brain size." bioRxiv (2022).

Effect of sitemaps on desktop traffic to the Italian Wikipedia from Google and other search engines

Spatial capture-recapture models in Stan

Lotka-Volterra competition model in Stan

Study the risk of default on a debt of a loan based on customer's features using R and Stan.

🚫 ↩️ A document that introduces Bayesian data analysis.

Code for modelling estimated deaths and cases for COVID19.