Streamline a data analysis process

Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*

A Brief Overview of Causal Inference (xaringan presentation)

Website and blog for the research group of Mark J. van der Laan

Learning graphical models, with a focus on causal models and learning from interventional data.

This repo contains the public directory which is the blog

An interactive mind map for thinkers who want to improve their logic.

Repo for the case study: d-separation

The article evaluates the effect of the enforcement activities of the Federal Antimonopoly Service of Russia on the market value of companies in the oil industry [reputational costs] (In Russian)

Repositório para os códigos e apresentações do Workshop de Análise de séries temporais por um critério de Causalidade

Lab Sessions - Causal Data Science for Business Analytics (Summer Term 2024)

Website for the course "Beyond i.i.d. learning: Causality, dynamics, and interactions" at ETH Zurich (fall semester 2021)

The Thematic Quarter on Causality

Assignment and project files in R and Python that I created as part of the data science master degree at Berkeley University.

TWFE/DID recent literature exploration

Working with the causaleffects and igraph

Causally oriented doctoral econometrics course at UO, taught by Ed Rubin

[Python] Building a demand model and correcting for reverse causation with 2-stage least squares regression (OLS in statsmodels, IV2SLS in linearmodels)

Repo for the case study: Causal Baseball - The Case of Reach on Error

Final project for ECON434