99 citations · 218 across the 6 of their papers we have counts for
6 papers
Nearest-Neighbor Sampling Based Conditional Independence Testing
Shuai Li, Ziqi Chen, Hongtu Zhu +2
The conditional randomization test (CRT) was recently proposed to test whether two random variables X and Y are conditionally independent given random variables Z. The CRT assumes…
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace
Shu Wan, Chen Zheng, Zhonggen Sun +4
Uplift modeling is a rapidly growing approach that utilizes causal inference and machine learning methods to directly estimate the heterogeneous treatment effects, which has been w…
An Online Sequential Test for Qualitative Treatment Effects
Chengchun Shi, Shikai Luo, Hongtu Zhu +1
Tech companies (e.g., Google or Facebook) often use randomized online experiments and/or A/B testing primarily based on the average treatment effects to compare their new product w…
Multivariate varying coefficient model for functional responses
Hongtu Zhu, Runze Li, Linglong Kong
Motivated by recent work studying massive imaging data in the neuroimaging literature, we propose multivariate varying coefficient models (MVCM) for modeling the relation between m…
Perturbation selection and influence measures in local influence analysis
Hongtu Zhu, Joseph G. Ibrahim, Sikyum Lee +1
Cook's [J. Roy. Statist. Soc. Ser. B 48 (1986) 133--169] local influence approach based on normal curvature is an important diagnostic tool for assessing local influence of minor p…
Generalized score test of homogeneity for mixed effects models
Hongtu Zhu, Heping Zhang
Many important problems in psychology and biomedical studies require testing for overdispersion, correlation and heterogeneity in mixed effects and latent variable models, and scor…