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stat.ME2024
Small area prediction of counts under machine learning-type mixed models
Nicolas Frink, Timo Schmid
This paper proposes small area estimation methods that utilize generalized tree-based machine learning techniques to improve the estimation of disaggregated means in small areas us…
stat.ME2024
Small area estimation with generalized random forests: Estimating poverty rates in Mexico
Nicolas Frink, Timo Schmid
Identifying and addressing poverty is challenging in administrative units with limited information on income distribution and well-being. To overcome this obstacle, small area esti…