This repository contains the labs from the Bayesian course at the Statistics and ML master at Linköpings universitet!
-
Bernoulli, Log-Normal and von Mises distribution
-
Bayesian inference
-
Posterior draws, Odds, Gini index
-
HPDI and equal area credible interval
-
Linear regression and Polynomial regression on time series
-
Logistic regression, classifying if a person work or not
-
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
