causal-forest

Generalized Random Forests

Bilibili vtuber causal inference

Marketing Analytics project : Promotion email targeting with uplift and causal forest model

Causal Forest DML analysis of racial approval penalties in U.S. mortgage lending | 42M HMDA applications, 2020-2024 | Under review at Journal of Financial Services Research

This is a project by Asmir Muminovic and Lukas Kolbe, which was created for the Applied Predictive Analytics class held by the Chair of Information Systems at the Humboldt University of Berlin

Replication files for Skinner & Doyle (2021) Do civic returns to higher education differ across subpopulations? An analysis using propensity forests

Análise Avançada de Intervenção em Ansiedade com Análise de Sensibilidade

A course project for POLS 904 Statistical Computing Foundations

Repository for the Bachelor's thesis of Matej Havelka concerning the evaluation of the Causal Forests method for determining the causal effect in Machine learning.

OLS on observational data says job training hurts earnings. Double ML corrects the bias and recovers the $1,794 RCT ground truth. Per-individual CATE · SHAP moderators · FastAPI · Streamlit dashboard.

R

R package for causal inference with generalized random forests, including causal forest, causal survival forest, and instrumental forest workflows for heterogeneous effect estimation.

Replication and Causal ML extension of Buchmann et al. (2023) on child marriage in Bangladesh.

Reliable and Fair Causal Machine Learning for Sparse Subpopulations in NSDUH 2021–2023

End-to-end uplift modeling pipeline on the Criteo dataset. Compares T/S/X-Learner and Causal Forest to estimate heterogeneous treatment effects for budget-constrained marketing targeting.

Causal ML for Orange Juice Price Elasticity

Deep-dive course on causal inference for platform settings: modern DiD, synthetic control, causal forests, policy learning, and matrix completion. 8 modules of concepts, xaringan slides, and hand-coded R exercises.

various causal modeling techniques to determine if living in the U.S. or Europe impacts developers’ overall job satisfaction.

This is a repository of the master thesis on Casual Machine Learning for Heterogeneous Treatment Effects: An Empirical Application on Optimal Treatment Assignment.