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.

The Thematic Quarter on Causality

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

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

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

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

Repo for the case study: d-separation

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

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)

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.

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

Course website for Ph.D. Applied Microeconometrics at the KDI School.