93 citations · 124 across the 14 of their papers we have counts for
17 papers
Testing for high-dimensional white noise
Long Feng, Binghui Liu, Yanyuan Ma
Testing for multi-dimensional white noise is an important subject in statistical inference. Such test in the high-dimensional case becomes an open problem waiting to be solved, esp…
Semiparametric Approach to Estimation of Marginal and Quantile Effects
Seong-ho Lee, Yanyuan Ma, Elvezio Ronchetti
We consider a semiparametric generalized linear model and study estimation of both marginal and quantile effects in this model. We propose an approximate maximum likelihood estimat…
Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records
Liang Liang, Jue Hou, Hajime Uno +3
Large clinical datasets derived from insurance claims and electronic health record (EHR) systems are valuable sources for precision medicine research. These datasets can be used to…
Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
Samidha Shetty, Yanyuan Ma, Jiwei Zhao
We study the problem of estimating a functional or a parameter in the context where outcome is subject to nonignorable missingness. We completely avoid modeling the regression rela…
Efficient computational algorithms for approximate optimal designs
Jiangtao Duan, Wei Gao, Yanyuan Ma +1
In this paper, we propose two simple yet efficient computational algorithms to obtain approximate optimal designs for multi-dimensional linear regression on a large variety of desi…
Semiparametric regression of mean residual life with censoring and covariate dimension reduction
Ge Zhao, Yanyuan Ma, Huazhen Lin +1
We propose a new class of semiparametric regression models of mean residual life for censored outcome data. The models, which enable us to estimate the expected remaining survival…