This repository will be used to organize all the codes written on the statistical modelling course given at the school of applied math at FGV-Rio on 2020 by prof. Claudio Struchiner. The main goal of the course is to teach students about generalized linear models (GLM) with a bayesian perspective.
The syllabus of the course and official github page can be found here.
Congdon, P.D. (2020) Bayesian Hierarchical Models with Applications Using R Second Edition. Boca Raton, CRC Press/Taylor & Francis Group.
Gamerman, D. and Lopes, H. F. (2006) Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference. Second Edition. London: Chapman & Hall/CRC Press.
Kruschke, J. K. (2015). Doing Bayesian data analysis, Second Edition: A tutorial with R, JAGS, and Stan. Burlington, MA: Academic Press/Elsevier.