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Donglin Zeng

Showing results (41-50 of 356) with videos related to

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Stat (International Statistical Institute)|April 7, 2021
Sparse Nonparametric Regression With Regularized Tensor Product KernelHang Yu, Yuanjia Wang, Donglin Zeng
The Annals of Applied Statistics|August 6, 2021
INTEGRATIVE NETWORK LEARNING FOR MULTI-MODALITY BIOMARKER DATAShanghong Xie, Donglin Zeng, Yuanjia Wang
Journal of Machine Learning Research : JMLR|August 14, 2023
Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive TrialsDaiqi Gao, Yufeng Liu, Donglin Zeng
Journal of the American Statistical Association|May 6, 2024
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental DisordersXingche Guo, Donglin Zeng, Yuanjia Wang
The International Journal of Biostatistics|September 26, 2024
Optimizing personalized treatments for targeted patient populations across multiple domainsYuan Chen, Donglin Zeng, Yuanjia Wang
Journal of Machine Learning Research : JMLR|March 16, 2026
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable SelectionDaiqi Gao, Yufeng Liu, Donglin Zeng
Journal of the American Statistical Association|October 12, 2020
Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health RecordsPeng Wu, Donglin Zeng, Yuanjia Wang
Journal of the American Statistical Association|November 15, 2021
Learning Individualized Treatment Rules for Multiple-Domain Latent OutcomesYuan Chen, Donglin Zeng, Yuanjia Wang
Biometrika|December 24, 2021
Maximum Likelihood Estimation for Semiparametric Regression Models With Panel Count DataBy Donglin Zeng, D Y Lin
Biometrics|February 10, 2017
Penalized nonlinear mixed effects model to identify biomarkers that predict disease progressionHuaihou Chen, Donglin Zeng, Yuanjia Wang
Pageof 36

Showing results (41-50 of 356) with videos related to

Sort By:
Pageof 36
Stat (International Statistical Institute)|April 7, 2021
Sparse Nonparametric Regression With Regularized Tensor Product KernelHang Yu, Yuanjia Wang, Donglin Zeng
The Annals of Applied Statistics|August 6, 2021
INTEGRATIVE NETWORK LEARNING FOR MULTI-MODALITY BIOMARKER DATAShanghong Xie, Donglin Zeng, Yuanjia Wang
Journal of Machine Learning Research : JMLR|August 14, 2023
Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive TrialsDaiqi Gao, Yufeng Liu, Donglin Zeng
Journal of the American Statistical Association|May 6, 2024
A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental DisordersXingche Guo, Donglin Zeng, Yuanjia Wang
The International Journal of Biostatistics|September 26, 2024
Optimizing personalized treatments for targeted patient populations across multiple domainsYuan Chen, Donglin Zeng, Yuanjia Wang
Journal of Machine Learning Research : JMLR|March 16, 2026
Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable SelectionDaiqi Gao, Yufeng Liu, Donglin Zeng
Journal of the American Statistical Association|October 12, 2020
Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health RecordsPeng Wu, Donglin Zeng, Yuanjia Wang
Journal of the American Statistical Association|November 15, 2021
Learning Individualized Treatment Rules for Multiple-Domain Latent OutcomesYuan Chen, Donglin Zeng, Yuanjia Wang
Biometrika|December 24, 2021
Maximum Likelihood Estimation for Semiparametric Regression Models With Panel Count DataBy Donglin Zeng, D Y Lin
Biometrics|February 10, 2017
Penalized nonlinear mixed effects model to identify biomarkers that predict disease progressionHuaihou Chen, Donglin Zeng, Yuanjia Wang
Pageof 36