IE 551 Applied Statistics
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Exploratory data analysis, kernel density estimation, multivariate regression, nonparametric and
semiparametric regression, scatterplot smoothing, linear mixed models, logistic regression, recursive
partitioning, anova, ancova, hidden Markov models, dynamic linear models, graphical models, principal
component analysis. Applications on real datasets using statistical software.
Credit units: 3 ECTS Credit units: 5.
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