pparkyong

pparkyong's Stars

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook4.9k88649589

• rmcelreath/statrethinking_winter2019

  Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

  2k17436392

• paulgp/applied-methods-phd

  Repo for Yale Applied Empirical Methods PHD Course

  Language:HTML1.9k744581

• rmcelreath/stat_rethinking_2020

  Statistical Rethinking Course Winter 2020/2021

  Language:R653615112

• WooilJeong/PublicDataReader

  공공 데이터 조회를 위한 오픈소스 파이썬 라이브러리

  Language:Jupyter Notebook480141888

• MCKnaus/causalML-teaching

  This repository consolidates my teaching material for "Causal Machine Learning".

  2309650

• borusyak/are213

  PhD Applied Econometrics class taught at UC Berkeley

  2094065

• woerman/ResEcon703

  Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

  Language:TeX207100118

• Alalalalaki/Guide2EconRA

  Language:HTML1799060

• zhentaoshi/econ5170

  Econ5170@CUHK: Computational Methods in Economics (2020 Spring).

  Language:Jupyter Notebook14816099

• pmichaillat/math-for-macro

  Source files of the course "Mathematics for Macroeconomics"

  Language:TeX1377048

• scunning1975/advanced_causalinf

  Advanced causal inference and research design course

  Language:Stata907022

• fabiankindermann/ce-fortran

  The Program and Compiler Database that accompanies the book "Introduction to Computational Economcis using Fortran"

  Language:Fortran704045

• justingrimmer/tad_19

  Text as Data 2019

  Language:TeX568021

• ScPo-CompEcon/Syllabus

  Syllabus for CompEcon Course

  Language:Makefile4533028

• justingrimmer/CausalInf

  This the repository for the Spring Causal Inference Course

  Language:TeX417026

• bschjerning/dp_ucph

  Teaching material for Lectures in Dynamic Programming

  Language:Jupyter Notebook373153

• serdarozkan/TikTak

  TikTak: A multistart global optimization algorithm

  Language:Fortran35439

• charliemurry/empirical-methods

  Materials for Empirical Methods for Applied Microeconomics PhD course.

  Language:HTML272123

• pmichaillat/unemployment

  Portal for the course "Unemployment" [ECON 182] at UCSC in Fall 2024

  241603

• tyleransom/DScourseS22

  Materials for Econ 5253 Data Science for Economists course at U of Oklahoma

  Language:Jupyter Notebook182817

• dgevans/EC-607-Computational-Economics

  Language:Jupyter Notebook158

• bschjerning/dp_uab

  Mini Course in Dynamic Structural Econometrics, Autonomous University of Barcelona (UAB) September 12-16, 2022

  Language:Jupyter Notebook121011

• OU-PhD-Econometrics/fall-2021

  Language:JavaScript123321

• bit2r/bitSpatial

  Spatial analytics resources for Korean region

  Language:R94372

• theloudis/Moments-Based-Econometrics-Course

  Code for course 'Moments Based Methods for Estimation'

  Language:Matlab84

• hliebert/course-text-analysis-in-r

  Text Analysis in R. Winter School in Data Analytics and Machine Learning, Université de Fribourg.

  Language:Jupyter Notebook7204

• bschjerning/EconometricsB

  Language:Jupyter Notebook62016

• fabiankindermann/dynamic-macro

  This is a set of R-files we use for our Dynamic Macro lecture at Uni Regensburg.

  Language:HTML22

• robizon/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

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