ADD MALTS stands for "Analyzing Distributional Data via Matching After Learning to Stretch" and -- as the name suggests -- is a method for estimating causal effects from distributional data. pyaddmalts is a python implementation of the method. This repository contains files necessary to replicate results found in the paper (Katta et al, 2024).
- To replicate results from Figure 2 of the paper, please run all files titled
cate_[method name]_experiments.py - To replicate results from Figure 3 of the paper, please run
positivity_experiments.py - To replicate the real data analysis, please see the
real_data_analysis.ipynbnotebook