Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Repository for the paper: "Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow".

Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.

Propensity Score based Matching via Distribution Learning

Snapshot of the implementation used to generate figures and numerical results from the paper "Sharp Bounds for Continuous-Valued Treatment Effects with Unobserved Confounders", Baitairian et al. (2024).

Various Ideas for Confounder Adjustment in Regression

CDAD-UH 1043EQ Data and Society | Fall 2021 | Final Project