Achim Zeileis

Universität Innsbruck

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Model-Based Causal Forests for Heterogeneous Treatment Effects

A new arXiv paper investigates which building blocks of random forests, especially causal forests and model-based forests, make them work for heterogeneous treatment effect estimation, both in randomized trials and observational studies. Read more ›

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12:45, restate my assumptions:
  1. Mathematics is the language of nature.
  2. Everything around us can be represented and understood through numbers
  3. If you graph these numbers, patterns emerge.
Therefore: There are patterns everywhere in nature.
Pi (1998)