Generalized mixed-effects random forest: A flexible approach to predict university student dropout

Massimo Pellagatti, Chiara Masci, Francesca Ieva, Anna Maria Paganoni. Generalized mixed-effects random forest: A flexible approach to predict university student dropout. Statistical Analysis and Data Mining, 14(3):241-257, 2021. [doi]

@article{PellagattiMIP21,
  title = {Generalized mixed-effects random forest: A flexible approach to predict university student dropout},
  author = {Massimo Pellagatti and Chiara Masci and Francesca Ieva and Anna Maria Paganoni},
  year = {2021},
  doi = {10.1002/sam.11505},
  url = {https://doi.org/10.1002/sam.11505},
  researchr = {https://researchr.org/publication/PellagattiMIP21},
  cites = {0},
  citedby = {0},
  journal = {Statistical Analysis and Data Mining},
  volume = {14},
  number = {3},
  pages = {241-257},
}