Scalable and Efficient Hypothesis Testing with Random Forests

16 April 2019

Papers citing "Scalable and Efficient Hypothesis Testing with Random Forests"

5 / 5 papers shown

Title
Nonparametric IPSS: Fast, flexible feature selection with false discovery control Omar Melikechi David B. Dunson Jeffrey W. Miller 218 0 0 03 Oct 2024
Sequential Permutation Testing of Random Forest Variable Importance Measures Alexander Hapfelmeier R. Hornung Bernhard Haller 32 15 0 02 Jun 2022
Asymptotic Distributions and Rates of Convergence for Random Forests via Generalized U-statistics Weiguang Peng T. Coleman L. Mentch 21 39 0 25 May 2019
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance Giles Hooker L. Mentch Siyu Zhou 37 153 0 01 May 2019
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 110 2,735 0 18 Aug 2015