| Nota de contenido: | I. Probability (Random variables, Expectation, Inequalities, Convergence of random variables)
II. Statistical Inference (Models, Statistical inference and learning, Estimating the CDF and statistical functionals, The Bootstrap, Parametric inference, Hypothesis, testing and p-values, Bayesian inference, Statistical decision theory)
III.Statistical Models and Methods (Linear and logistic regression, Multivariate models, Inference about independence, Causal inference, Directed graphs and conditional independence, Undirected graphs, Log-linears models, Nonparametric curve estimation, Smoothing sing orthogonal functions, Classification, Probability Redux: stochastic processes, Simulation methods)
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