332 citations · 333 across the 4 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.ML2019
Models under which random forests perform badly; consequences for applications
José A. Ferreira
We give examples of data-generating models under which Breiman's random forest may be extremely slow to converge to the optimal predictor or even fail to be consistent. The evidenc…
math.ST2019★ 1 cited
Causality from the Point of View of Statistics
José A. Ferreira
We present a basis for studying questions of cause and effect in statistics which subsumes and reconciles the models proposed by Pearl, Robins, Rubin and others, and which, as far…