Category Archives: Bayes

Processing Stan samples with ggmcmc

Stan is a relative newcomer in the scenario of Bayesian tools aimed at provide samples from posteriors. But despite its novelty, it offers many interesting features for Bayesians. Amongst the features, which will probably be discussed here in the future, … Continue reading

Posted in Bayes | Tagged , , , | 3 Comments

Forecasting elections by polling the polls

Democratic institutions are filled with individuals choosen on free elections. Although forecasting behaviour of individuals may not be the first and single purpose of social science, this blog will start with an entry about the uses of Bayesian tools to … Continue reading

Posted in Applied models, Bayes, Elections | Tagged , , | Leave a comment