Econometrics and Machine Learning

I will be in London, UK, at the Centre for Central Banking Studies, invited as a keynote speaker for a major conference. For my talk, on Econometric Models and Statistical Learning Techniques, the agenda is the follownig

  • introduction on High Dimensional Data and Modeling
  • foundations of econometric models, and probabilistic aspects
  • machine learning techniques, with a discussion on boosting, cross validation
  • classification, from the logistic regression to trees and random forest
  • machine learning tools that can be used in econometrics, such as bootstrap, principal component analysis / partial least squares, and instrumental variables and variable selection

Slides are avaible (as usual, the pdf version is more informative than the one on slideshare where animations are missing)

 



Cite this blog post
Arthur Charpentier (2016, May 18). Econometrics and Machine Learning. Freakonometrics. Retrieved May 28, 2024, from https://doi.org/10.58079/ov41

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