Collection of stats, modeling, and data science tools in Python and R.
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Updated
Jul 6, 2023 - HTML
Collection of stats, modeling, and data science tools in Python and R.
Undergraduate textbook for Econometrics with R
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
Nonlinear Nonparametric Statistics
Market Analysis Course with Interactive RTutor Problemsets, Videos and Quizzes
Functions and replication files for Peter Phillips and Zhentao Shi (2021): "Boosting: Why You Can Use the HP Filter"
Machine Learning for Econometrics -- ENSAE Paris
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2022) Taught by Ed Rubin
Causal-inference oriented doctoral econometrics course at UO
Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.
Introduction to R for Economists
Материалы по курсам Эконометрика, Эконометрика-2, Анализ панельных данных в МГИМО МИД России (Весна 2023)
Software used in teaching time series financial econometrics
The software includes a dynamic bayesian network with genetic feature space selection, includes 5 econometric data.frames with 263 time series.
This is the website repository for the Stata packages lassopack & pdslasso. Please visit:
A general introduction to statistics for use in data science.
samples of my work in Econ 487: Data Science and Strategic Pricing
Files to reproduce my Ph.D. thesis, entitled "Carry trade effects in developed and developing countries: the cases of Switzerland and Brazil". This thesis was defended on February 15, 2022 at the Univ. Grenoble Alpes (UGA). I finished the Ph.D. programme in Economis in the Centre for Research in Economics in Grenoble (CREG), which is linked to t…
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