Home Work 1, until Feb 19
Home Work 2
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Jan 15: First Lecture: Overwiev and administration, presentation of participants
Jan 22: Second Lecture: Reasoning with uncertainty: Frameworks, History of Bayesian methods, Cox result on the inevitability of Bayesian analysis, models, priors, posteriors. Decision methods based on utility functions.
Jan 29: Third Lecture: Occams principle in Bayesianism, AIC/BIC, Decision theory and dependence structure in tabular data, analyzed with Dirichlet distributions.
Feb 5: Fourth Lecture: Causality, confounders and segmentation. Visualization. Checking modelling assumptions, detecting interesting structure, Brushing, Tour and Projection Pursuit. Demo of Xgobi in half-classes in my room.
Febr 12: No lecture
Febr 19: Roland Orre: Detecting harmful side effects in drugs. Markov Chain Monte Carlo, applications
Febr 26: Danny Roobaert: Vapniks methods of statistical learning
March 5: Stefan Zemke, time series and financial application
Akis Laftsidis : Business applications KDD and DM,
March 12: NO LECTURE!!
March 19 at 15:15(change of time!!)
Johan Schubert,Datafusion: Teori och Praktik:
Staffan Ulfberg: Stochastic Complexity
Summing up the course.
A suitable preparation is to think over what material you would like to present in class, and what type of project you would like to do in the course.