TDDE07 - Bayesian Learning | Linköpings university
- Bernoulli distributions: Draw numbers and compute posterior distribution from simulation
- Log-normal distribution
- Gini coefficient
- Credible interval
- Highest Posterior Density
- Bayesian analysis of polynomial regression
- Conjugate priors
- Simulations from joint posterior distribution
- Estimation of polynomial model of higher degree
- Posterior approximation for classification with logistic regression
- Mixture of normal model with semi-conjugate prior
- Gibbs sampling
- Autoregressive models
- Markov chain Monte Carlo
- Markov chain Monte Carlo
- Metropolis algorithm