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- W2006353560 abstract "This paper presents an extension of the random forest (RF) method to the case of clustered data. The proposed ‘mixed-effects random forest’ (MERF) is implemented using a standard RF algorithm within the framework of the expectation–maximization algorithm. Simulation results show that the proposed MERF method provides substantial improvements over standard RF when the random effects are non-negligible. The use of the method is illustrated to predict the first-week box office revenues of movies." @default.
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- W2006353560 date "2012-11-12" @default.
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- W2006353560 title "Mixed-effects random forest for clustered data" @default.
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- W2006353560 doi "https://doi.org/10.1080/00949655.2012.741599" @default.
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