A0460
Title: Asymptotic property for generalized random forests
Authors: Hiroshi Shiraishi - Keio University (Japan) [presenting]
Tomoshige Nakamura - Juntendo University (Japan)
Ryuta Suzuki - Keio University (Japan)
Abstract: The aim is to develop asymptotic properties of estimators constructed by Generalized Random Forests (GRF), a method to statistically estimate an unknown function defined as a solution to a local estimating equation. By using the theory of empirical processes, the uniform consistency, rate of convergence and weak convergence of the estimator are discussed by GRF.
