43 citations · 44 across the 2 of their papers we have counts for
2 papers
stat.ME2022★ 1 cited
Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Auxiliary Data
Patrick Krennmair, Nora Würz, Timo Schmid
Evidence-based policy-making requires reliable, spatially disaggregated indicators. The framework of mixed effects random forests leverages the advantages of random forests and hie…
stat.ME2022★ 43 cited
Flexible domain prediction using mixed effects random forests
Patrick Krennmair, Timo Schmid
This paper promotes the use of random forests as versatile tools for estimating spatially disaggregated indicators in the presence of small area-specific sample sizes. Small area e…