 |
 Sequential Permutation Testing of Random Forest Variable Importance
MeasuresComputational Statistics & Data Analysis (CSDA), 2022 |
 Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a
Random ForestStatistical analysis and data mining (SADM), 2021 |
 Forward Stability and Model Path SelectionStatistics and computing (Stat Comput), 2021 |
 MDA for random forests: inconsistency, and a practical solution via the
Sobol-MDABiometrika (Biometrika), 2021 |
 Bridging Breiman's Brook: From Algorithmic Modeling to Statistical
LearningObservational Studies (OS), 2021 |
 Asymptotic Distributions and Rates of Convergence for Random Forests via
Generalized U-statisticsElectronic Journal of Statistics (EJS), 2019 |
 Unrestricted Permutation forces Extrapolation: Variable Importance
Requires at least One More Model, or There Is No Free Variable ImportanceStatistics and computing (Stat. Comput.), 2019 |
