A0560
Title: Generalized random forests for dependent data
Authors: Hiroshi Shiraishi - Keio University (Japan) [presenting]
Tomoshige Nakamura - Juntendo University (Japan)
Abstract: The generalized random forests (GRF) is a nonparametric statistical estimation method based on random forests. We consider the asymptotic property of GRF under a time-series setting.
