Data visualisation and modelling
Additional Info
- ECTS credits: 6
- University: Autonomous University of Barcelona
- Semester: 3
- Lecturer 1: P. Puig
-
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.
Published in
Course units
