Yuanjia Wang

发表

What is the true value of food waste? A case study of technology integration in urban food waste treatment in Suzhou City, China

Zongguo Wen, Yuanjia Wang, Djavan De Clercq, 2016 .

A General Framework of Nonparametric Feature Selection in High-Dimensional Data

Hang Yu, Donglin Zeng, Yuanjia Wang, 2021 .

Evaluating Effectiveness of Public Health Intervention Strategies for Mitigating COVID-19 Pandemic

Donglin Zeng, Shanghong Xie, Yuanjia Wang, 2021, ArXiv.

Least square and Empirical Bayes Approaches for Estimating Random Change Points

Yixin Fang, Yuanjia Wang, 2021 .

Learning non-monotone optimal individualized treatment regimes

Wensheng Zhu, Yanyuan Ma, Yuanjia Wang, 2021 .

Modeling Temporal Biomarkers With Semiparametric Nonlinear Dynamical Systems.

Donglin Zeng, Yuanjia Wang, By Ming Sun, 2020, Biometrika.

Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression

Donglin Zeng, Huaihou Chen, Yuanjia Wang, 2017, Biometrics.

Predicting Disease Onset from Mutation Status Using Proband and Relative Data with Applications to Huntington's Disease.

Yanyuan Ma, Karen Marder, Tianle Chen, 2012, Journal of probability and statistics.

Transcription activity hot spot, is it real or an artifact?

Tian Zheng, Yuanjia Wang, T. Zheng, 2007, BMC proceedings.

Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge

Paolo Bonato, Gloria Vergara-Diaz, Yuanfang Guan, 2020, bioRxiv.

Sparse nonparametric regression with regularized tensor product kernel

Hang Yu, Hang Yu, Donglin Zeng, 2020, Stat.

Joint Rare Variant Association Test of the Average and Individual Effects for Sequencing Studies

Qiong Yang, Yuanjia Wang, Yin-Hsiu Chen, 2012, PloS one.

Efficient ℓ0 -norm feature selection based on augmented and penalized minimization.

Donglin Zeng, Shanghong Xie, Yuanjia Wang, 2018, Statistics in medicine.

Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens

Michael R. Kosorok, Donglin Zeng, Ying Liu, 2016, 1611.02314.

Efficient distribution estimation for data with unobserved sub-population identifiers.

Yanyuan Ma, Yuanjia Wang, Yanyuan Ma, 2012, Electronic journal of statistics.

A Penalized Spline Approach to Functional Mixed Effects Model Analysis

Huaihou Chen, Yuanjia Wang, Yuanjia Wang, 2011, Biometrics.

A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data

Huaihou Chen, Yuanjia Wang, Myunghee Cho Paik, 2013, Journal of the American Statistical Association.

Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records

Donglin Zeng, Yuanjia Wang, Peng Wu, 2019, Journal of the American Statistical Association.

A note on a nonparametric regression test through penalized splines.

Runze Li, Huaihou Chen, Yuanjia Wang, 2014, Statistica Sinica.

Testing for familial aggregation of functional traits.

Yixin Fang, Yuanjia Wang, 2009, Statistics in medicine.

Collaborative planning approach to inform the implementation of a healthcare manager intervention for hispanics with serious mental illness: a study protocol

Yuanjia Wang, Roberto Lewis-Fernández, Benjamin Druss, 2011, Implementation science : IS.

Risk of Parkinson disease in carriers of parkin mutations: estimation using the kin-cohort method.

Karen Marder, Stanley Fahn, Daniel Rabinowitz, 2008, Archives of neurology.

Nonparametric estimation of age-at-onset distributions from censored kin-cohort data

Karen Marder, Daniel Rabinowitz, Yuanjia Wang, 2007 .

A Ridge Penalized Principal-Components Approach Based on Heritability for High-Dimensional Data

Yixin Fang, Yuanjia Wang, Yixin Fang, 2007, Human Heredity.

Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies

Haoda Fu, Donglin Zeng, Yuanjia Wang, 2018, Journal of the American Statistical Association.