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20192026
most citedR-NL: Covariance Matrix Estimation for Elliptical Distributions based on Nonlinear Shrinkage

5 citations · 9 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

stat.ML2023

MMD-based Variable Importance for Distributional Random Forest

Clément Bénard, Jeffrey Näf, Julie Josse

Distributional Random Forest (DRF) is a flexible forest-based method to estimate the full conditional distribution of a multivariate output of interest given input variables. In th…

math.ST2023★ 2 cited

Confidence and Uncertainty Assessment for Distributional Random Forests

Jeffrey Näf, Corinne Emmenegger, Peter Bühlmann +1

The Distributional Random Forest (DRF) is a recently introduced Random Forest algorithm to estimate multivariate conditional distributions. Due to its general estimation procedure,…