Data visualisation and modelling

Additional Info

  • ECTS credits: 6
  • Semester: 3
  • University: Autonomous University of Barcelona
  • Objectives:


    To learn the methodologies of data simulation, bootstrapping and permutation testing, that allow a fast solution to complex statistical models without deep knowledge of classical statistical topics. Introduce Bayesian networks as graphical structures for representing probabilistic relationships among many variables and for doing inference.

  • Topics:


    Introduction to the R language. Permutation tests. Jackknife. Parametric and non-parametric bootstrap. Causal networks and inference in Bayesian networks. Learning Bayesian network parameters.

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Home Structure Semester 2 Course units Data visualisation and modelling

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