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. Author manuscript; available in PMC: 2019 May 20.
Published in final edited form as: Stat Med. 2018 Mar 6;37(11):1767–1787. doi: 10.1002/sim.7623

Algorithm 2.

Causal boosting.

Require: Data (Xi, Ti, Yi), parameters K,ε > 0
 Initialize Ri = Yi and Ĝ0(x, t) = 0.
for k in 1,…,K do
  Fit a causal tree ĝk to data (Xi, Ti, Ri)
  Ri ← Ri − ε · ĝk(Xi, Ti)
  Gk ← Ĝk−1 + ε · ĝk
end for
 Return ĜK(x, t).