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)

Made for a reading group at the Center for Safe AGI.

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

A comprehensive repository for the causRCA dataset and benchmarking framework for causal discovery and automated root cause analysis (RCA) methods in manufacturing systems.

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

The Thematic Quarter on Causality

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

Analyzing global commodity shocks and trade linkages to predict sectoral stress and economic resilience in India.

🌞 Manage Xeroderma Pigmentosum effectively with DermaFlow, an AI-driven web solution that provides proactive care and UV protection for patients and caregivers.

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

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

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

A repo containing course work from an econometrics module focused on causal inference.

TWFE/DID recent literature exploration