3 citations · 3 across the 3 of their papers we have counts for
3 papers
math.ST2026
Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
Haiyi Chen, Yang Liu, Ivana Malenica
We propose ULFS-KDPE, a kernel debiased plug-in estimator based on the universal least favorable submodel, for estimating pathwise differentiable parameters in nonparametric models…
stat.ME2020★ 3 cited
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
Yifan Zhou, Yang Liu, Ping Li +1
A/B testing is an important decision-making tool in product development for evaluating user engagement or satisfaction from a new service, feature or product. The goal of A/B testi…
stat.ME2019
Density Estimation on a Network
Yang Liu, David Ruppert
This paper develops a novel approach to density estimation on a network. We formulate nonparametric density estimation on a network as a nonparametric regression problem by binning…