Algorithm 2.
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). |
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). |