2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Tree-Based Machine Learning Methods For Vehicle Insurance Claims Size Prediction
Edossa Merga Terefe
Vehicle insurance claims size prediction needs methods to efficiently handle these claims. Machine learning (ML) is one of the methods that solve this problem. Tree-based ensemble…
stat.ME2022★ 2 cited
Extremal Random Forests
Nicola Gnecco, Edossa Merga Terefe, Sebastian Engelke
Classical methods for quantile regression fail in cases where the quantile of interest is extreme and only few or no training data points exceed it. Asymptotic results from extreme…