Summer School, Big Data and Economics

This week I will be giving a lecture at the  2018 edition of the Summer School at the UB School of Economics, in Barcelona. It will be a four day crash course, starting on Tuesday (morning).

Lecture 1: Introduction : Why Big Data brings New Questions
Lecture 2: Simulation Based Techniques & Bootstrap
Lecture 3: Loss Functions : from OLS to Quantile Regression
Lecture 4: Nonlinearities and Discontinuities
Lecture 5: Cross-Validation and Out-of-Sample diagnosis
Lecture 6: Variable and model selection
Lecture 7: New Tools for Classification Problems
Lecture 8: New Tools for Time Series & Forecasting

Some slides are available on github, and probably more interesting, I will upload a R markdown with all the codes.


OpenEdition suggests that you cite this post as follows:
Arthur Charpentier (July 1, 2018). Summer School, Big Data and Economics. Freakonometrics. Retrieved October 7, 2024 from https://doi.org/10.58079/ovb9


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