Bayesian Learning

This repository contains the labs from the Bayesian course at the Statistics and ML master at Linköpings universitet!

Lab 1

• Bernoulli, Log-Normal and von Mises distribution

• Bayesian inference

• Posterior draws, Odds, Gini index

• HPDI and equal area credible interval

Lab 2

• Linear regression and Polynomial regression on time series

• Logistic regression, classifying if a person work or not

Lab 3

• Gibbs sampling for Logistic regression, augumented data

• Metropolis ranwom walk for Poisson regression, simulate posteriors

• times series in Stan, synthetic data and Autoregressive(1) models