Statistical learning: nonparametric regression and classification (2020)

Prof. Giuliano Galimberti

  • Date:

    17 APRIL
    -
    05 MAY 2020
     from 10:00 to 13:00

  • Event location: Aula virtuale Teams:

  • Type: Cycle 35 - Mandatory Courses

AULA VIRTUALE TEAMS


Orario

venerdì 17/04 ore 10-13
martedì 21/04 ore 10-13
martedì 28/04 ore 10-13
martedì 05/05 ore 10-13

 

* Topics:

  • Overview
  • Generalized additive models
    • Definition
    • Model fitting
    • Choice of the smoothing parameters
  • Tree-based methods
    • Background
    • Regression trees
    • Classification trees
  • Ensemble methods
    • Weak learners
    • Bagging
    • Random forests
    • Variable importance measures


* References:

James G., Witten D., Hastie T. and Tibshirani R. (2013). An Introduction to Statistical Learning. Springer.
Hastie T., Tibshirani R. and Friedman J. (2009). The Elements of Statistical Learning (second edition). Springer