byelenin

byelenin's Stars

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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• svmiller/svm-r-markdown-templates

  This is my (deprecated) suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. DOWNLOAD {stevetemplates} INSTEAD.

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• asjadnaqvi/DiD

  Keeping track of what is going on with the latest DiD innovations.

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• rstats-wtf/what-they-forgot

  "What They Forgot to Teach You About R" website / eBook

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• scunning1975/mixtape

  Data and Program files for Causal Inference: The Mixtape

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• bcallaway11/did

  Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did

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• chrisconlon/applied_metrics

  A PhD course in Applied Econometrics and Panel Data

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• rstudio/tinytex-releases

  Windows/macOS/Linux binaries and installation methods of TinyTeX

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• causal-machine-learning/kdd2021-tutorial

  EconML/CausalML KDD 2021 Tutorial

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• scunning1975/advanced_causalinf

  Advanced causal inference and research design course

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• edrubin/EC607S21

  Causal-inference oriented doctoral econometrics course at UO

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• edrubin/EC524W20

  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin

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• PetalsOnWind/Statistics-and-Econometrics-for-Data-Science

  This repository contains notebooks for understanding some concepts of statistics and econometrics that can be helpful in data science

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• Chrisejorge/Causal-Inference

  Materials Collection for Causal Inference

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• wenddymacro/AppliedEconometrics

  Stata、计量经济学、DSGE

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• edrubin/EC421S19

  Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Ed Rubin

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• xuyiqing/panelview_stata

  panelView for Stata

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• MartinSpindler/Machine-Learning-in-Econometrics

  Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"

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• edrubin/EC524W21

  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2021 Taught by Ed Rubin

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• ml4econ/lecture-notes-2021

  Lecture notes for "Machine Learning for Economists", spring 2021 at HUJI

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• gadenbuie/xaringan-logo

  xaringan template with logo on all slides

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• edrubin/ARE212

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• edrubin/EC421S20

  Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin

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• edrubin/EC421W19

  Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2019. Taught by Edward Rubin

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• andrewchbaker/DiD_Slides

  11207

• edrubin/EC421W21

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• J-PAL/stata_PII_scan

  Stata program to scan for personally identifiable information (PII)

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• mwaugh0328/Measuring-Openness-to-Trade

  Code and data associated with Ravikumar and Waugh (2016) Measuring Openness to Trade

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• byelenin/course-website

  This is a Jekyll template, patterned off my main Jekyll template, for organizing a course website and hosting it on Github.

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• byelenin/stat545.stat.ubc.ca

  Repository that produces the new STAT 545/547 @ UBC website

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