This repository contains the labs from the Bayesian course at the Statistics and ML master at Linköpings universitet!
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Bernoulli, Log-Normal and von Mises distribution
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Bayesian inference
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Posterior draws, Odds, Gini index
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HPDI and equal area credible interval
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Linear regression and Polynomial regression on time series
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Logistic regression, classifying if a person work or not
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Gibbs sampling for Logistic regression, augumented data
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Metropolis ranwom walk for Poisson regression, simulate posteriors
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times series in Stan, synthetic data and Autoregressive(1) models