Probability theory, Random variables, parent distributions, samples, Central Limit Theorem, Maximum Likelihood, Confidence intervals Room: DARK lounge

Bayesian parameter inference: Bayes theorem and discussion, priors, general Bayesian approach to inference problems, Gaussian linear model Room: DARK lounge

Roberto Trotta: Markov Chain Monte Carlo methods, Metropolis-Hastings, Hamiltonian Monte Carlo, Gibbs sampling. Practical and numerical issues. Convergence. Room: DARK lounge

Roberto Trotta Room: DARK lounge

Bayesian model selection: Bayesian evidence, computation of the evidence: numerical and analytical methods, example applications in cosmology and particle physics, Look elsewhere effect and Bayes, open challenges Room: DARK lounge

Wouter Verkerke Room: DARK lounge

Wouter Room: DARK lounge

Wouter Verkerke Room: DARK lounge

Wouter Room: DARK lounge

Wouter Room: DARK lounge