Causal Inference
Showing 5 of 5 projects
A Python package for uplift modeling and causal inference using machine learning algorithms to estimate treatment effects.
A Python toolkit for causal and probabilistic reasoning using graphical models like Bayesian Networks and Structural Equation Models.
An R package for estimating causal effects in time series using Bayesian structural time-series models.
A graduate-level course website for program evaluation and causal inference using R, built with Quarto and a reproducible {targets} pipeline.
A dependency-free statistics, linear algebra, and machine learning library for the V programming language, focused on product analytics.
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