Lecture Scedule 2006, course 2D5342

Fridays at 13:15, room 1537

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

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