most citedDrift estimation for a multi-dimensional diffusion process using deep neural networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

stat.ME2024

Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices

Masahiro Kato, Akihiro Oga, Wataru Komatsubara +1

This study designs an adaptive experiment for efficiently estimating average treatment effects (ATEs). In each round of our adaptive experiment, an experimenter sequentially sample…

math.ST2021★ 2 cited

Drift estimation for a multi-dimensional diffusion process using deep neural networks

Akihiro Oga, Yuta Koike

Recently, many studies have shed light on the high adaptivity of deep neural network methods in nonparametric regression models, and their superior performance has been established…