most citedInterpretable random forest models through forward variable selection

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

stat.ME2020★ 2 cited

Interpretable random forest models through forward variable selection

Jasper Velthoen, Juan-Juan Cai, Geurt Jongbloed

Random forest is a popular prediction approach for handling high dimensional covariates. However, it often becomes infeasible to interpret the obtained high dimensional and non-par…

stat.ME2018

Improving precipitation forecasts using extreme quantile regression

Jasper Velthoen, Juan-Juan Cai, Geurt Jongbloed +1

Aiming to estimate extreme precipitation forecast quantiles, we propose a nonparametric regression model that features a constant extreme value index. Using local linear quantile r…