Computational methods in statistical analysis

Additional Info

  • ECTS credits: 6
  • University: University of Nice - Sophia Antipolis
  • Semester: 3
  • Objectives:


    This course will focus on several standard computational methods in data sciences and on model selection in statistics. This includes: Concept of statistical model, Supervised model selection, Cross-Validation techniques (Hold-out, V-Fold, Leave-one-out, Leave q-out), Unsupervised model selection, Penalized criteria (AIC, BIC, ICL, slope heuristic), applications of model selection to regression (ridge, lasso), density estimation, model-based classification and clustering, variable selection, dimension reduction (probabilistic PCA).

  • Topics:


    Supervised and unsupervised model selection, Cross-validation techniques, Penalized criteria, Applications to regression.

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Home Structure Semester 2 Course units Computational methods in statistical analysis

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