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Aprašymas

Part I: Keynote.- Part II: ABC Methods for Genetic Data.- Part III: Algorithms for Robust Statistics.- Part IV: Brain Imaging.- Part V: Computational Econometrics.- Part VI: Computer-Intensive Actuarial Methods.- Part VII: Data Stream Mining.- Part VIII: Functional Data Analysis.- Part IX: Kernel Methods.-Part X: Monte Carlo Methods in System Safety, Reliability and Risk Analysis.- Part XI: Optimization Heuristics in Statistical Modelling.- Part XII: Spatial Statistics / Spatial Epidemiology.- Part XIII: ARS Session (Financial) Time Series.- Part XIV: KDD Session: Topological Learning.- Part XV: IFCS Session: New Developments in Two or Highermode Clustering; Model Based Clustering and Reduction for High Dimensional Data.- Part XVI: Selected Contributed Papers.- Part XVII: E-supplementary material: Contributed Papers.