Scalable and Efficient Hypothesis Testing with Random Forests

Tim Coleman, Wei Peng, Lucas Mentch. Scalable and Efficient Hypothesis Testing with Random Forests. Journal of Machine Learning Research, 23, 2022. [doi]

@article{ColemanPM22,
  title = {Scalable and Efficient Hypothesis Testing with Random Forests},
  author = {Tim Coleman and Wei Peng and Lucas Mentch},
  year = {2022},
  url = {http://jmlr.org/papers/v23/20-1060.html},
  researchr = {https://researchr.org/publication/ColemanPM22},
  cites = {0},
  citedby = {0},
  journal = {Journal of Machine Learning Research},
  volume = {23},
}