Jan 27:Overview, Presentation of participants
Feb 3: Bayesian analysis, fundamental relations
Feb 10: Conjugate priors, MCMC(intro), testing and FDR
Feb 17: Evidence theory, DS and MDS combinators, pignistic and relative plausibility estimation
Feb 24: Statistical Data Models, univariate, non-parametrics
March 3: Multivariate models, dependency modelling, dynamical systems and time series.
March 10: Graphical models: Bayesian Networks and Markov Random Fields
March 17: MCMC, Particle filter/sequential MCMC